Grafana La nuit : nuits superposees (nuage soiree/nuit + regression, tableau, profil horaire)
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011uJ47NxgfpGnuuMr3f2n7Z
This commit is contained in:
Tallagrand Thierry
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HANDOFF.md
16
HANDOFF.md
@@ -1053,5 +1053,21 @@ Attribut renomme `soc_requis_maintenant_pct` (+ `soc_requis_prudent_maintenant_p
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`marge_points`, `debut_heures_creuses`) ; aucun SOC du matin n'est publie. Verifie en
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reel 21:27 : `juste`, marge 0,5.
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### 28/09 soir — Les nuits superposees : la soiree annonce la nuit
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Demande du proprietaire : une prevision du SOC de 9 h par l'historique, pas par un
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profil moyen. Sur **24 nuits** (04/09 -> 27/09), maison voiture exclue : 21:30->09:00
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mediane **10,0 kWh** (8,1 a 15,0), 21:30->01:24 mediane 4,7. **Regression nuit ~
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soiree (18:00-21:30) : nuit = 6,98 + 0,74 x soiree, r2 = 0,40** — une soiree chargee
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(four) annonce une nuit chargee. 1 point de SOC = 0,30 kWh verifie sur 4 nuits sans
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reseau ni voiture. Soir du 28/09 : soiree 6,27 kWh (forte) -> nuit prevue 11,6 kWh ;
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estimation 9 h : ~35 % si EDF s'engage a 01:24, ~22 % sinon, 20 % touche vers 8 h si
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la nuit est forte. **A verifier le 29/09 au matin.**
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Grafana « La nuit » : 3 panneaux (nuage soiree/nuit avec regression et CE SOIR,
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tableau des nuits, profil horaire 20 nuits contre la nuit en cours). SQL dans
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`tools/grafana-nuits.sql` et `tools/grafana-profil-horaire.sql`, verifiees contre le
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calcul par script (identiques). ⚠️ Rendu du nuage (xychart Grafana 11.3) non vu de mes
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yeux : le proprietaire confirme. Piste ouverte : faire utiliser la regression par le
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bilan (la nuit prevue suit la soiree reelle).
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---
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*Document mis a jour le : 28/09/2026 (~02:15) — VRM remplace Forecast.Solar (comparaison le 05/10), tenir jusqu'a la prochaine HC, prevision de nuit pour l'agent*
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@@ -642,6 +642,403 @@
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"show": false
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}
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}
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},
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{
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"type": "xychart",
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"title": "Soiree contre nuit : le nuage des nuits",
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"description": "Un point = une nuit. En abscisse ce que la maison a consomme de 18:00 a 21:30 (la cuisine), en ordonnee de 21:30 a 09:00, voiture exclue. La droite orange est la regression sur toutes les nuits ; le gros point rouge est CE SOIR, place sur la droite : une prevision, pas une mesure. 1 point de SOC = 0,30 kWh sur le parc actuel.",
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"datasource": {
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},
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"format": "table",
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"rawQuery": true,
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"editorMode": "code",
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"rawSql": "WITH pts AS (\n SELECT cle, ts, valeur,\n least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin\n FROM mesure\n WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power',\n 'sensor.victron_grid_power_l1', 'sensor.victron_pv_power_system')\n AND ts > now() - interval '40 days'\n),\njours AS (\n SELECT d::date AS j,\n (d::date + time '18:00') AT TIME ZONE 'Europe/Paris' AS s0,\n (d::date + time '21:30') AT TIME ZONE 'Europe/Paris' AS n0,\n (d::date + 1 + time '01:24') AT TIME ZONE 'Europe/Paris' AS hc,\n (d::date + 1 + time '09:00') AT TIME ZONE 'Europe/Paris' AS n1\n FROM generate_series(current_date - 35, current_date, interval '1 day') d\n),\ne AS (\n SELECT j.j,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.s0 AND p.ts < j.n0) AS c_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.s0 AND p.ts < j.n0) AS v_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.hc) AS c_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.hc) AS v_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS c_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.n1) AS v_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_grid_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS r_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_pv_power_system' AND p.fin > j.n0 AND p.ts < j.n1) AS pv_nuit\n FROM jours j JOIN pts p ON p.fin > j.s0 AND p.ts < j.n1\n GROUP BY j.j\n),\nnuits AS (\n SELECT j.j, j.n0, j.n1,\n round(((coalesce(c_soir,0) - coalesce(v_soir,0)) / 3.6e6)::numeric, 2) AS soiree_kwh,\n round(((coalesce(c_hc,0) - coalesce(v_hc,0)) / 3.6e6)::numeric, 2) AS maison_hc_kwh,\n round(((coalesce(c_nuit,0) - coalesce(v_nuit,0)) / 3.6e6)::numeric, 2) AS maison_nuit_kwh,\n round((coalesce(v_nuit,0) / 3.6e6)::numeric, 2) AS voiture_kwh,\n round((coalesce(r_nuit,0) / 3.6e6)::numeric, 2) AS reseau_kwh,\n round((coalesce(pv_nuit,0) / 3.6e6)::numeric, 2) AS pv_avant_9h_kwh,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n0 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_2130,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.hc AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_0124,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n1 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_9h\n FROM jours j JOIN e ON e.j = j.j\n WHERE j.n1 <= now() AND j.j >= date '2026-09-04'\n)\nSELECT soiree_kwh AS \"Soiree\", maison_nuit_kwh AS \"Nuit sans voiture\" FROM nuits WHERE voiture_kwh < 0.5 ORDER BY 1"
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},
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{
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},
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"rawSql": "WITH pts AS (\n SELECT cle, ts, valeur,\n least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin\n FROM mesure\n WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power',\n 'sensor.victron_grid_power_l1', 'sensor.victron_pv_power_system')\n AND ts > now() - interval '40 days'\n),\njours AS (\n SELECT d::date AS j,\n (d::date + time '18:00') AT TIME ZONE 'Europe/Paris' AS s0,\n (d::date + time '21:30') AT TIME ZONE 'Europe/Paris' AS n0,\n (d::date + 1 + time '01:24') AT TIME ZONE 'Europe/Paris' AS hc,\n (d::date + 1 + time '09:00') AT TIME ZONE 'Europe/Paris' AS n1\n FROM generate_series(current_date - 35, current_date, interval '1 day') d\n),\ne AS (\n SELECT j.j,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.s0 AND p.ts < j.n0) AS c_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.s0 AND p.ts < j.n0) AS v_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.hc) AS c_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.hc) AS v_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS c_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.n1) AS v_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_grid_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS r_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_pv_power_system' AND p.fin > j.n0 AND p.ts < j.n1) AS pv_nuit\n FROM jours j JOIN pts p ON p.fin > j.s0 AND p.ts < j.n1\n GROUP BY j.j\n),\nnuits AS (\n SELECT j.j, j.n0, j.n1,\n round(((coalesce(c_soir,0) - coalesce(v_soir,0)) / 3.6e6)::numeric, 2) AS soiree_kwh,\n round(((coalesce(c_hc,0) - coalesce(v_hc,0)) / 3.6e6)::numeric, 2) AS maison_hc_kwh,\n round(((coalesce(c_nuit,0) - coalesce(v_nuit,0)) / 3.6e6)::numeric, 2) AS maison_nuit_kwh,\n round((coalesce(v_nuit,0) / 3.6e6)::numeric, 2) AS voiture_kwh,\n round((coalesce(r_nuit,0) / 3.6e6)::numeric, 2) AS reseau_kwh,\n round((coalesce(pv_nuit,0) / 3.6e6)::numeric, 2) AS pv_avant_9h_kwh,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n0 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_2130,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.hc AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_0124,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n1 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_9h\n FROM jours j JOIN e ON e.j = j.j\n WHERE j.n1 <= now() AND j.j >= date '2026-09-04'\n)\nSELECT soiree_kwh AS \"Soiree\", maison_nuit_kwh AS \"Nuit avec voiture\" FROM nuits WHERE voiture_kwh >= 0.5 ORDER BY 1"
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},
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"rawSql": "WITH pts AS (\n SELECT cle, ts, valeur,\n least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin\n FROM mesure\n WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power',\n 'sensor.victron_grid_power_l1', 'sensor.victron_pv_power_system')\n AND ts > now() - interval '40 days'\n),\njours AS (\n SELECT d::date AS j,\n (d::date + time '18:00') AT TIME ZONE 'Europe/Paris' AS s0,\n (d::date + time '21:30') AT TIME ZONE 'Europe/Paris' AS n0,\n (d::date + 1 + time '01:24') AT TIME ZONE 'Europe/Paris' AS hc,\n (d::date + 1 + time '09:00') AT TIME ZONE 'Europe/Paris' AS n1\n FROM generate_series(current_date - 35, current_date, interval '1 day') d\n),\ne AS (\n SELECT j.j,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.s0 AND p.ts < j.n0) AS c_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.s0 AND p.ts < j.n0) AS v_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.hc) AS c_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.hc) AS v_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS c_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.n1) AS v_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_grid_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS r_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_pv_power_system' AND p.fin > j.n0 AND p.ts < j.n1) AS pv_nuit\n FROM jours j JOIN pts p ON p.fin > j.s0 AND p.ts < j.n1\n GROUP BY j.j\n),\nnuits AS (\n SELECT j.j, j.n0, j.n1,\n round(((coalesce(c_soir,0) - coalesce(v_soir,0)) / 3.6e6)::numeric, 2) AS soiree_kwh,\n round(((coalesce(c_hc,0) - coalesce(v_hc,0)) / 3.6e6)::numeric, 2) AS maison_hc_kwh,\n round(((coalesce(c_nuit,0) - coalesce(v_nuit,0)) / 3.6e6)::numeric, 2) AS maison_nuit_kwh,\n round((coalesce(v_nuit,0) / 3.6e6)::numeric, 2) AS voiture_kwh,\n round((coalesce(r_nuit,0) / 3.6e6)::numeric, 2) AS reseau_kwh,\n round((coalesce(pv_nuit,0) / 3.6e6)::numeric, 2) AS pv_avant_9h_kwh,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n0 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_2130,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.hc AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_0124,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n1 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_9h\n FROM jours j JOIN e ON e.j = j.j\n WHERE j.n1 <= now() AND j.j >= date '2026-09-04'\n)\n\nSELECT v.x AS \"Soiree\", round((r.a + r.b * v.x)::numeric, 2) AS \"Regression\"\n FROM (SELECT regr_intercept(maison_nuit_kwh, soiree_kwh) AS a, regr_slope(maison_nuit_kwh, soiree_kwh) AS b,\n min(soiree_kwh) AS lo, max(soiree_kwh) AS hi FROM nuits) r,\n LATERAL (VALUES (r.lo), (r.hi)) v(x)\n ORDER BY 1"
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},
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|
||||
"rawSql": "WITH pts AS (\n SELECT cle, ts, valeur,\n least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin\n FROM mesure\n WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power',\n 'sensor.victron_grid_power_l1', 'sensor.victron_pv_power_system')\n AND ts > now() - interval '40 days'\n),\njours AS (\n SELECT d::date AS j,\n (d::date + time '18:00') AT TIME ZONE 'Europe/Paris' AS s0,\n (d::date + time '21:30') AT TIME ZONE 'Europe/Paris' AS n0,\n (d::date + 1 + time '01:24') AT TIME ZONE 'Europe/Paris' AS hc,\n (d::date + 1 + time '09:00') AT TIME ZONE 'Europe/Paris' AS n1\n FROM generate_series(current_date - 35, current_date, interval '1 day') d\n),\ne AS (\n SELECT j.j,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.s0 AND p.ts < j.n0) AS c_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.s0 AND p.ts < j.n0) AS v_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.hc) AS c_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.hc) AS v_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS c_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.n1) AS v_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_grid_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS r_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_pv_power_system' AND p.fin > j.n0 AND p.ts < j.n1) AS pv_nuit\n FROM jours j JOIN pts p ON p.fin > j.s0 AND p.ts < j.n1\n GROUP BY j.j\n),\nnuits AS (\n SELECT j.j, j.n0, j.n1,\n round(((coalesce(c_soir,0) - coalesce(v_soir,0)) / 3.6e6)::numeric, 2) AS soiree_kwh,\n round(((coalesce(c_hc,0) - coalesce(v_hc,0)) / 3.6e6)::numeric, 2) AS maison_hc_kwh,\n round(((coalesce(c_nuit,0) - coalesce(v_nuit,0)) / 3.6e6)::numeric, 2) AS maison_nuit_kwh,\n round((coalesce(v_nuit,0) / 3.6e6)::numeric, 2) AS voiture_kwh,\n round((coalesce(r_nuit,0) / 3.6e6)::numeric, 2) AS reseau_kwh,\n round((coalesce(pv_nuit,0) / 3.6e6)::numeric, 2) AS pv_avant_9h_kwh,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n0 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_2130,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.hc AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_0124,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n1 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_9h\n FROM jours j JOIN e ON e.j = j.j\n WHERE j.n1 <= now() AND j.j >= date '2026-09-04'\n),\nf AS (\n SELECT ((CASE WHEN (now() AT TIME ZONE 'Europe/Paris')::time >= time '18:00'\n THEN (now() AT TIME ZONE 'Europe/Paris')::date\n ELSE (now() AT TIME ZONE 'Europe/Paris')::date - 1 END) + time '18:00')\n AT TIME ZONE 'Europe/Paris' AS s0\n),\nsoir AS (\n SELECT sum(p.valeur * extract(epoch FROM least(p.fin, f.s0 + interval '3 hours 30 minutes', now()) - greatest(p.ts, f.s0))\n * CASE WHEN p.cle = 'sensor.victron_evcs_ac_power' THEN -1\n WHEN p.cle = 'sensor.victron_consumption_power_l1' THEN 1 ELSE 0 END) / 3.6e6 AS kwh\n FROM pts p, f\n WHERE p.fin > f.s0 AND p.ts < least(f.s0 + interval '3 hours 30 minutes', now())\n)\nSELECT round(s.kwh::numeric, 2) AS \"Soiree\",\n round((regr_intercept(maison_nuit_kwh, soiree_kwh) + regr_slope(maison_nuit_kwh, soiree_kwh) * s.kwh)::numeric, 2) AS \"Ce soir (prevu)\"\n FROM nuits, soir s GROUP BY s.kwh"
|
||||
}
|
||||
],
|
||||
"fieldConfig": {
|
||||
"defaults": {
|
||||
"unit": "kwatth",
|
||||
"color": {
|
||||
"mode": "palette-classic"
|
||||
},
|
||||
"custom": {
|
||||
"show": "points",
|
||||
"pointSize": {
|
||||
"fixed": 9
|
||||
},
|
||||
"pointShape": "circle",
|
||||
"lineWidth": 2,
|
||||
"fillOpacity": 60
|
||||
}
|
||||
},
|
||||
"overrides": [
|
||||
{
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Nuit sans voiture"
|
||||
},
|
||||
"properties": [
|
||||
{
|
||||
"id": "color",
|
||||
"value": {
|
||||
"mode": "fixed",
|
||||
"fixedColor": "green"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Nuit avec voiture"
|
||||
},
|
||||
"properties": [
|
||||
{
|
||||
"id": "color",
|
||||
"value": {
|
||||
"mode": "fixed",
|
||||
"fixedColor": "blue"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Regression"
|
||||
},
|
||||
"properties": [
|
||||
{
|
||||
"id": "color",
|
||||
"value": {
|
||||
"mode": "fixed",
|
||||
"fixedColor": "orange"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "custom.show",
|
||||
"value": "lines"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Ce soir (prevu)"
|
||||
},
|
||||
"properties": [
|
||||
{
|
||||
"id": "color",
|
||||
"value": {
|
||||
"mode": "fixed",
|
||||
"fixedColor": "red"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "custom.pointSize",
|
||||
"value": {
|
||||
"fixed": 18
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"options": {
|
||||
"mapping": "manual",
|
||||
"series": [
|
||||
{
|
||||
"frame": {
|
||||
"matcher": {
|
||||
"id": "byIndex",
|
||||
"options": 0
|
||||
}
|
||||
},
|
||||
"x": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Soiree"
|
||||
}
|
||||
},
|
||||
"y": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Nuit sans voiture"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"frame": {
|
||||
"matcher": {
|
||||
"id": "byIndex",
|
||||
"options": 1
|
||||
}
|
||||
},
|
||||
"x": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Soiree"
|
||||
}
|
||||
},
|
||||
"y": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Nuit avec voiture"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"frame": {
|
||||
"matcher": {
|
||||
"id": "byIndex",
|
||||
"options": 2
|
||||
}
|
||||
},
|
||||
"x": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Soiree"
|
||||
}
|
||||
},
|
||||
"y": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Regression"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"frame": {
|
||||
"matcher": {
|
||||
"id": "byIndex",
|
||||
"options": 3
|
||||
}
|
||||
},
|
||||
"x": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Soiree"
|
||||
}
|
||||
},
|
||||
"y": {
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Ce soir (prevu)"
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"legend": {
|
||||
"showLegend": true,
|
||||
"displayMode": "list",
|
||||
"placement": "bottom"
|
||||
},
|
||||
"tooltip": {
|
||||
"mode": "single",
|
||||
"sort": "none"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "table",
|
||||
"title": "Les nuits, une ligne par nuit",
|
||||
"description": "kWh ; « Maison » = voiture exclue. La nuit en cours apparait le lendemain a 09:00, une fois close. C'est la matiere du nuage de gauche.",
|
||||
"datasource": {
|
||||
"type": "grafana-postgresql-datasource",
|
||||
"uid": "evcs-pg"
|
||||
},
|
||||
"targets": [
|
||||
{
|
||||
"refId": "A",
|
||||
"datasource": {
|
||||
"type": "grafana-postgresql-datasource",
|
||||
"uid": "evcs-pg"
|
||||
},
|
||||
"format": "table",
|
||||
"rawQuery": true,
|
||||
"editorMode": "code",
|
||||
"rawSql": "WITH pts AS (\n SELECT cle, ts, valeur,\n least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin\n FROM mesure\n WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power',\n 'sensor.victron_grid_power_l1', 'sensor.victron_pv_power_system')\n AND ts > now() - interval '40 days'\n),\njours AS (\n SELECT d::date AS j,\n (d::date + time '18:00') AT TIME ZONE 'Europe/Paris' AS s0,\n (d::date + time '21:30') AT TIME ZONE 'Europe/Paris' AS n0,\n (d::date + 1 + time '01:24') AT TIME ZONE 'Europe/Paris' AS hc,\n (d::date + 1 + time '09:00') AT TIME ZONE 'Europe/Paris' AS n1\n FROM generate_series(current_date - 35, current_date, interval '1 day') d\n),\ne AS (\n SELECT j.j,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.s0 AND p.ts < j.n0) AS c_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.s0 AND p.ts < j.n0) AS v_soir,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.hc) AS c_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.hc) AS v_hc,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS c_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.n1) AS v_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_grid_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS r_nuit,\n sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_pv_power_system' AND p.fin > j.n0 AND p.ts < j.n1) AS pv_nuit\n FROM jours j JOIN pts p ON p.fin > j.s0 AND p.ts < j.n1\n GROUP BY j.j\n),\nnuits AS (\n SELECT j.j, j.n0, j.n1,\n round(((coalesce(c_soir,0) - coalesce(v_soir,0)) / 3.6e6)::numeric, 2) AS soiree_kwh,\n round(((coalesce(c_hc,0) - coalesce(v_hc,0)) / 3.6e6)::numeric, 2) AS maison_hc_kwh,\n round(((coalesce(c_nuit,0) - coalesce(v_nuit,0)) / 3.6e6)::numeric, 2) AS maison_nuit_kwh,\n round((coalesce(v_nuit,0) / 3.6e6)::numeric, 2) AS voiture_kwh,\n round((coalesce(r_nuit,0) / 3.6e6)::numeric, 2) AS reseau_kwh,\n round((coalesce(pv_nuit,0) / 3.6e6)::numeric, 2) AS pv_avant_9h_kwh,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n0 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_2130,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.hc AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_0124,\n (SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n1 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_9h\n FROM jours j JOIN e ON e.j = j.j\n WHERE j.n1 <= now() AND j.j >= date '2026-09-04'\n)\nSELECT to_char(j, 'DD/MM') AS \"Nuit du\", soc_2130 AS \"SOC 21:30\", soc_0124 AS \"SOC 01:24\", soc_9h AS \"SOC 09:00\", soiree_kwh AS \"Soiree 18-21:30\", maison_hc_kwh AS \"Maison 21:30-01:24\", maison_nuit_kwh AS \"Maison 21:30-09:00\", voiture_kwh AS \"Voiture\", reseau_kwh AS \"Reseau\", pv_avant_9h_kwh AS \"PV avant 9h\" FROM nuits ORDER BY j DESC"
|
||||
}
|
||||
],
|
||||
"gridPos": {
|
||||
"x": 14,
|
||||
"y": 32,
|
||||
"w": 10,
|
||||
"h": 11
|
||||
},
|
||||
"fieldConfig": {
|
||||
"defaults": {
|
||||
"custom": {
|
||||
"align": "left",
|
||||
"cellOptions": {
|
||||
"type": "auto"
|
||||
},
|
||||
"filterable": true
|
||||
}
|
||||
},
|
||||
"overrides": []
|
||||
},
|
||||
"options": {
|
||||
"showHeader": true,
|
||||
"cellHeight": "sm",
|
||||
"footer": {
|
||||
"show": false
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "barchart",
|
||||
"title": "Profil horaire de la maison : 20 nuits contre cette nuit",
|
||||
"description": "kWh consommes par la maison (voiture exclue) heure par heure, de 18 h a 17 h. Mediane et valeur haute (8 nuits sur 10 en dessous) sur 20 jours, et la nuit en cours par-dessus — l'heure en cours est partielle. C'est ce profil moyen que le bilan utilise ; une soiree au-dessus de la mediane annonce une nuit au-dessus.",
|
||||
"datasource": {
|
||||
"type": "grafana-postgresql-datasource",
|
||||
"uid": "evcs-pg"
|
||||
},
|
||||
"targets": [
|
||||
{
|
||||
"refId": "A",
|
||||
"datasource": {
|
||||
"type": "grafana-postgresql-datasource",
|
||||
"uid": "evcs-pg"
|
||||
},
|
||||
"format": "table",
|
||||
"rawQuery": true,
|
||||
"editorMode": "code",
|
||||
"rawSql": "WITH pts AS (\n SELECT cle, ts, valeur,\n least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin\n FROM mesure\n WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power')\n AND ts > now() - interval '22 days'\n),\nheures AS (\n SELECT h AS h0, h + interval '1 hour' AS h1\n FROM generate_series(date_trunc('hour', now() - interval '20 days'), date_trunc('hour', now()), interval '1 hour') h\n),\ne AS (\n SELECT h.h0, least(h.h1, now()) AS h1,\n sum(p.valeur * extract(epoch FROM least(p.fin, h.h1) - greatest(p.ts, h.h0))\n * CASE WHEN p.cle = 'sensor.victron_evcs_ac_power' THEN -1 ELSE 1 END) / 3.6e6 AS kwh\n FROM heures h JOIN pts p ON p.fin > h.h0 AND p.ts < h.h1\n GROUP BY 1, 2\n),\ncadre AS (\n SELECT *, extract(hour FROM h0 AT TIME ZONE 'Europe/Paris')::int AS heure,\n ((extract(hour FROM h0 AT TIME ZONE 'Europe/Paris')::int + 6) % 24) AS rang\n FROM e\n)\nSELECT lpad(heure::text, 2, '0') || ' h' AS \"Heure\",\n round(percentile_cont(0.5) WITHIN GROUP (ORDER BY kwh) FILTER (WHERE h1 - h0 = interval '1 hour' AND h0 < date_trunc('hour', now()) - interval '18 hours')::numeric, 2) AS \"Mediane 20 nuits\",\n round(percentile_cont(0.8) WITHIN GROUP (ORDER BY kwh) FILTER (WHERE h1 - h0 = interval '1 hour' AND h0 < date_trunc('hour', now()) - interval '18 hours')::numeric, 2) AS \"8 nuits sur 10 sous\",\n round((max(kwh) FILTER (WHERE h0 >= (CASE WHEN extract(hour FROM now() AT TIME ZONE 'Europe/Paris') >= 18\n THEN date_trunc('day', now() AT TIME ZONE 'Europe/Paris') + interval '18 hours'\n ELSE date_trunc('day', now() AT TIME ZONE 'Europe/Paris') - interval '6 hours' END) AT TIME ZONE 'Europe/Paris'))::numeric, 2) AS \"Cette nuit\"\n FROM cadre\n GROUP BY heure, rang\n ORDER BY rang\n"
|
||||
}
|
||||
],
|
||||
"gridPos": {
|
||||
"x": 0,
|
||||
"y": 43,
|
||||
"w": 24,
|
||||
"h": 9
|
||||
},
|
||||
"fieldConfig": {
|
||||
"defaults": {
|
||||
"unit": "kwatth",
|
||||
"color": {
|
||||
"mode": "palette-classic"
|
||||
},
|
||||
"custom": {
|
||||
"lineWidth": 1,
|
||||
"fillOpacity": 80,
|
||||
"gradientMode": "none",
|
||||
"axisBorderShow": false
|
||||
}
|
||||
},
|
||||
"overrides": [
|
||||
{
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Cette nuit"
|
||||
},
|
||||
"properties": [
|
||||
{
|
||||
"id": "color",
|
||||
"value": {
|
||||
"mode": "fixed",
|
||||
"fixedColor": "red"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "Mediane 20 nuits"
|
||||
},
|
||||
"properties": [
|
||||
{
|
||||
"id": "color",
|
||||
"value": {
|
||||
"mode": "fixed",
|
||||
"fixedColor": "green"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"matcher": {
|
||||
"id": "byName",
|
||||
"options": "8 nuits sur 10 sous"
|
||||
},
|
||||
"properties": [
|
||||
{
|
||||
"id": "color",
|
||||
"value": {
|
||||
"mode": "fixed",
|
||||
"fixedColor": "orange"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"options": {
|
||||
"orientation": "auto",
|
||||
"xTickLabelRotation": -45,
|
||||
"showValue": "never",
|
||||
"stacking": "none",
|
||||
"groupWidth": 0.7,
|
||||
"barWidth": 0.9,
|
||||
"legend": {
|
||||
"displayMode": "list",
|
||||
"placement": "bottom",
|
||||
"showLegend": true
|
||||
},
|
||||
"tooltip": {
|
||||
"mode": "multi",
|
||||
"sort": "none"
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@@ -204,6 +204,113 @@ PREVISION_A_VENIR = """
|
||||
# =====================================================================
|
||||
# 1. LA NUIT — la question a laquelle on ne savait pas repondre le 03/09
|
||||
# =====================================================================
|
||||
|
||||
# =====================================================================
|
||||
# 1bis. LES NUITS SUPERPOSEES (28/09/2026) — demande du proprietaire
|
||||
# =====================================================================
|
||||
# « Si tu superposes 20 nuits tu dois trouver un nuage de points. » Le bilan
|
||||
# prevoit la nuit avec un profil horaire MOYEN, aveugle a la soiree qui vient
|
||||
# de se passer ; or sur 24 nuits, une soiree chargee (four, 18:00-21:30)
|
||||
# annonce une nuit chargee (r2 = 0,40, 28/09). Ces panneaux rendent la relation
|
||||
# visible, et serviront a verifier le bilan le jour ou il l'utilisera.
|
||||
# Energie = puissance tenue jusqu'au point suivant (capteurs ecrits sur
|
||||
# changement), plafond 1 h pour qu'un trou n'extrapole rien — meme methode que
|
||||
# le rapport de nuit (§76). « Maison » = consommation AC moins la voiture.
|
||||
# Chiffres verifies contre un calcul independant (script) le 28/09 : identiques.
|
||||
NUITS_CTE = pathlib.Path(__file__).with_name('grafana-nuits.sql').read_text()
|
||||
PROFIL_SQL = pathlib.Path(__file__).with_name('grafana-profil-horaire.sql').read_text()
|
||||
|
||||
def nuits_sql(select):
|
||||
return NUITS_CTE.rstrip() + "\n" + select
|
||||
|
||||
CE_SOIR = """,
|
||||
f AS (
|
||||
SELECT ((CASE WHEN (now() AT TIME ZONE 'Europe/Paris')::time >= time '18:00'
|
||||
THEN (now() AT TIME ZONE 'Europe/Paris')::date
|
||||
ELSE (now() AT TIME ZONE 'Europe/Paris')::date - 1 END) + time '18:00')
|
||||
AT TIME ZONE 'Europe/Paris' AS s0
|
||||
),
|
||||
soir AS (
|
||||
SELECT sum(p.valeur * extract(epoch FROM least(p.fin, f.s0 + interval '3 hours 30 minutes', now()) - greatest(p.ts, f.s0))
|
||||
* CASE WHEN p.cle = 'sensor.victron_evcs_ac_power' THEN -1
|
||||
WHEN p.cle = 'sensor.victron_consumption_power_l1' THEN 1 ELSE 0 END) / 3.6e6 AS kwh
|
||||
FROM pts p, f
|
||||
WHERE p.fin > f.s0 AND p.ts < least(f.s0 + interval '3 hours 30 minutes', now())
|
||||
)
|
||||
SELECT round(s.kwh::numeric, 2) AS "Soiree",
|
||||
round((regr_intercept(maison_nuit_kwh, soiree_kwh) + regr_slope(maison_nuit_kwh, soiree_kwh) * s.kwh)::numeric, 2) AS "Ce soir (prevu)"
|
||||
FROM nuits, soir s GROUP BY s.kwh"""
|
||||
|
||||
DROITE = """
|
||||
SELECT v.x AS "Soiree", round((r.a + r.b * v.x)::numeric, 2) AS "Regression"
|
||||
FROM (SELECT regr_intercept(maison_nuit_kwh, soiree_kwh) AS a, regr_slope(maison_nuit_kwh, soiree_kwh) AS b,
|
||||
min(soiree_kwh) AS lo, max(soiree_kwh) AS hi FROM nuits) r,
|
||||
LATERAL (VALUES (r.lo), (r.hi)) v(x)
|
||||
ORDER BY 1"""
|
||||
|
||||
NUIT_XY = {"type": "xychart", "title": "Soiree contre nuit : le nuage des nuits",
|
||||
"description": ("Un point = une nuit. En abscisse ce que la maison a consomme de 18:00 a "
|
||||
"21:30 (la cuisine), en ordonnee de 21:30 a 09:00, voiture exclue. La "
|
||||
"droite orange est la regression sur toutes les nuits ; le gros point rouge "
|
||||
"est CE SOIR, place sur la droite : une prevision, pas une mesure. "
|
||||
"1 point de SOC = 0,30 kWh sur le parc actuel."),
|
||||
"datasource": PG, "gridPos": {"x": 0, "y": 32, "w": 14, "h": 11},
|
||||
"targets": [
|
||||
sql("A", nuits_sql('SELECT soiree_kwh AS "Soiree", maison_nuit_kwh AS "Nuit sans voiture" '
|
||||
'FROM nuits WHERE voiture_kwh < 0.5 ORDER BY 1'), fmt="table"),
|
||||
sql("B", nuits_sql('SELECT soiree_kwh AS "Soiree", maison_nuit_kwh AS "Nuit avec voiture" '
|
||||
'FROM nuits WHERE voiture_kwh >= 0.5 ORDER BY 1'), fmt="table"),
|
||||
sql("C", nuits_sql(DROITE), fmt="table"),
|
||||
sql("D", NUITS_CTE.rstrip() + CE_SOIR, fmt="table")],
|
||||
"fieldConfig": {"defaults": {"unit": "kwatth", "color": {"mode": "palette-classic"},
|
||||
"custom": {"show": "points", "pointSize": {"fixed": 9}, "pointShape": "circle",
|
||||
"lineWidth": 2, "fillOpacity": 60}},
|
||||
"overrides": [
|
||||
{"matcher": {"id": "byName", "options": "Nuit sans voiture"},
|
||||
"properties": [{"id": "color", "value": {"mode": "fixed", "fixedColor": "green"}}]},
|
||||
{"matcher": {"id": "byName", "options": "Nuit avec voiture"},
|
||||
"properties": [{"id": "color", "value": {"mode": "fixed", "fixedColor": "blue"}}]},
|
||||
{"matcher": {"id": "byName", "options": "Regression"},
|
||||
"properties": [{"id": "color", "value": {"mode": "fixed", "fixedColor": "orange"}},
|
||||
{"id": "custom.show", "value": "lines"}]},
|
||||
{"matcher": {"id": "byName", "options": "Ce soir (prevu)"},
|
||||
"properties": [{"id": "color", "value": {"mode": "fixed", "fixedColor": "red"}},
|
||||
{"id": "custom.pointSize", "value": {"fixed": 18}}]}]},
|
||||
"options": {"mapping": "manual",
|
||||
"series": [{"frame": {"matcher": {"id": "byIndex", "options": i}},
|
||||
"x": {"matcher": {"id": "byName", "options": "Soiree"}},
|
||||
"y": {"matcher": {"id": "byName", "options": n}}}
|
||||
for i, n in enumerate(["Nuit sans voiture", "Nuit avec voiture",
|
||||
"Regression", "Ce soir (prevu)"])],
|
||||
"legend": {"showLegend": True, "displayMode": "list", "placement": "bottom"},
|
||||
"tooltip": {"mode": "single", "sort": "none"}}}
|
||||
|
||||
NUIT_TABLE = table("Les nuits, une ligne par nuit", [
|
||||
sql("A", nuits_sql(
|
||||
'SELECT to_char(j, \'DD/MM\') AS "Nuit du", soc_2130 AS "SOC 21:30", '
|
||||
'soc_0124 AS "SOC 01:24", soc_9h AS "SOC 09:00", soiree_kwh AS "Soiree 18-21:30", '
|
||||
'maison_hc_kwh AS "Maison 21:30-01:24", maison_nuit_kwh AS "Maison 21:30-09:00", '
|
||||
'voiture_kwh AS "Voiture", reseau_kwh AS "Reseau", pv_avant_9h_kwh AS "PV avant 9h" '
|
||||
'FROM nuits ORDER BY j DESC'), fmt="table")],
|
||||
PG, 14, 32, 10, 11,
|
||||
"kWh ; « Maison » = voiture exclue. La nuit en cours apparait le lendemain a "
|
||||
"09:00, une fois close. C'est la matiere du nuage de gauche.")
|
||||
|
||||
NUIT_PROFIL = barchart("Profil horaire de la maison : 20 nuits contre cette nuit", [
|
||||
sql("A", PROFIL_SQL, fmt="table")],
|
||||
PG, 0, 43, 24, 9, "kwatth",
|
||||
"kWh consommes par la maison (voiture exclue) heure par heure, de 18 h a 17 h. "
|
||||
"Mediane et valeur haute (8 nuits sur 10 en dessous) sur 20 jours, et la nuit en "
|
||||
"cours par-dessus — l'heure en cours est partielle. C'est ce profil moyen que le "
|
||||
"bilan utilise ; une soiree au-dessus de la mediane annonce une nuit au-dessus.",
|
||||
overrides=[{"matcher": {"id": "byName", "options": "Cette nuit"},
|
||||
"properties": [{"id": "color", "value": {"mode": "fixed", "fixedColor": "red"}}]},
|
||||
{"matcher": {"id": "byName", "options": "Mediane 20 nuits"},
|
||||
"properties": [{"id": "color", "value": {"mode": "fixed", "fixedColor": "green"}}]},
|
||||
{"matcher": {"id": "byName", "options": "8 nuits sur 10 sous"},
|
||||
"properties": [{"id": "color", "value": {"mode": "fixed", "fixedColor": "orange"}}]}])
|
||||
|
||||
|
||||
nuit = dashboard("evcs-nuit", "La nuit", (
|
||||
"Ce que le bilan exigeait, contre ce que la batterie a reellement fait. "
|
||||
"C'est la question qui a demande une nuit d'archeologie le 03/09 et qui "
|
||||
@@ -336,6 +443,7 @@ nuit = dashboard("evcs-nuit", "La nuit", (
|
||||
"vehicule": {"color": "green", "index": 5}}}]}]},
|
||||
{"matcher": {"id": "byName", "options": "Par"},
|
||||
"properties": [{"id": "custom.width", "value": 130}]}]),
|
||||
NUIT_XY, NUIT_TABLE, NUIT_PROFIL,
|
||||
])
|
||||
|
||||
# =====================================================================
|
||||
|
||||
43
tools/grafana-nuits.sql
Normal file
43
tools/grafana-nuits.sql
Normal file
@@ -0,0 +1,43 @@
|
||||
WITH pts AS (
|
||||
SELECT cle, ts, valeur,
|
||||
least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin
|
||||
FROM mesure
|
||||
WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power',
|
||||
'sensor.victron_grid_power_l1', 'sensor.victron_pv_power_system')
|
||||
AND ts > now() - interval '40 days'
|
||||
),
|
||||
jours AS (
|
||||
SELECT d::date AS j,
|
||||
(d::date + time '18:00') AT TIME ZONE 'Europe/Paris' AS s0,
|
||||
(d::date + time '21:30') AT TIME ZONE 'Europe/Paris' AS n0,
|
||||
(d::date + 1 + time '01:24') AT TIME ZONE 'Europe/Paris' AS hc,
|
||||
(d::date + 1 + time '09:00') AT TIME ZONE 'Europe/Paris' AS n1
|
||||
FROM generate_series(current_date - 35, current_date, interval '1 day') d
|
||||
),
|
||||
e AS (
|
||||
SELECT j.j,
|
||||
sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.s0 AND p.ts < j.n0) AS c_soir,
|
||||
sum(p.valeur * extract(epoch FROM least(p.fin, j.n0) - greatest(p.ts, j.s0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.s0 AND p.ts < j.n0) AS v_soir,
|
||||
sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.hc) AS c_hc,
|
||||
sum(p.valeur * extract(epoch FROM least(p.fin, j.hc) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.hc) AS v_hc,
|
||||
sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_consumption_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS c_nuit,
|
||||
sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_evcs_ac_power' AND p.fin > j.n0 AND p.ts < j.n1) AS v_nuit,
|
||||
sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_grid_power_l1' AND p.fin > j.n0 AND p.ts < j.n1) AS r_nuit,
|
||||
sum(p.valeur * extract(epoch FROM least(p.fin, j.n1) - greatest(p.ts, j.n0))) FILTER (WHERE p.cle = 'sensor.victron_pv_power_system' AND p.fin > j.n0 AND p.ts < j.n1) AS pv_nuit
|
||||
FROM jours j JOIN pts p ON p.fin > j.s0 AND p.ts < j.n1
|
||||
GROUP BY j.j
|
||||
),
|
||||
nuits AS (
|
||||
SELECT j.j, j.n0, j.n1,
|
||||
round(((coalesce(c_soir,0) - coalesce(v_soir,0)) / 3.6e6)::numeric, 2) AS soiree_kwh,
|
||||
round(((coalesce(c_hc,0) - coalesce(v_hc,0)) / 3.6e6)::numeric, 2) AS maison_hc_kwh,
|
||||
round(((coalesce(c_nuit,0) - coalesce(v_nuit,0)) / 3.6e6)::numeric, 2) AS maison_nuit_kwh,
|
||||
round((coalesce(v_nuit,0) / 3.6e6)::numeric, 2) AS voiture_kwh,
|
||||
round((coalesce(r_nuit,0) / 3.6e6)::numeric, 2) AS reseau_kwh,
|
||||
round((coalesce(pv_nuit,0) / 3.6e6)::numeric, 2) AS pv_avant_9h_kwh,
|
||||
(SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n0 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_2130,
|
||||
(SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.hc AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_0124,
|
||||
(SELECT valeur FROM mesure WHERE cle = 'sensor.victron_battery_soc' AND ts <= j.n1 AND valeur > 0 ORDER BY ts DESC LIMIT 1) AS soc_9h
|
||||
FROM jours j JOIN e ON e.j = j.j
|
||||
WHERE j.n1 <= now() AND j.j >= date '2026-09-04'
|
||||
)
|
||||
32
tools/grafana-profil-horaire.sql
Normal file
32
tools/grafana-profil-horaire.sql
Normal file
@@ -0,0 +1,32 @@
|
||||
WITH pts AS (
|
||||
SELECT cle, ts, valeur,
|
||||
least(coalesce(lead(ts) OVER (PARTITION BY cle ORDER BY ts), now()), ts + interval '1 hour') AS fin
|
||||
FROM mesure
|
||||
WHERE cle IN ('sensor.victron_consumption_power_l1', 'sensor.victron_evcs_ac_power')
|
||||
AND ts > now() - interval '22 days'
|
||||
),
|
||||
heures AS (
|
||||
SELECT h AS h0, h + interval '1 hour' AS h1
|
||||
FROM generate_series(date_trunc('hour', now() - interval '20 days'), date_trunc('hour', now()), interval '1 hour') h
|
||||
),
|
||||
e AS (
|
||||
SELECT h.h0, least(h.h1, now()) AS h1,
|
||||
sum(p.valeur * extract(epoch FROM least(p.fin, h.h1) - greatest(p.ts, h.h0))
|
||||
* CASE WHEN p.cle = 'sensor.victron_evcs_ac_power' THEN -1 ELSE 1 END) / 3.6e6 AS kwh
|
||||
FROM heures h JOIN pts p ON p.fin > h.h0 AND p.ts < h.h1
|
||||
GROUP BY 1, 2
|
||||
),
|
||||
cadre AS (
|
||||
SELECT *, extract(hour FROM h0 AT TIME ZONE 'Europe/Paris')::int AS heure,
|
||||
((extract(hour FROM h0 AT TIME ZONE 'Europe/Paris')::int + 6) % 24) AS rang
|
||||
FROM e
|
||||
)
|
||||
SELECT lpad(heure::text, 2, '0') || ' h' AS "Heure",
|
||||
round(percentile_cont(0.5) WITHIN GROUP (ORDER BY kwh) FILTER (WHERE h1 - h0 = interval '1 hour' AND h0 < date_trunc('hour', now()) - interval '18 hours')::numeric, 2) AS "Mediane 20 nuits",
|
||||
round(percentile_cont(0.8) WITHIN GROUP (ORDER BY kwh) FILTER (WHERE h1 - h0 = interval '1 hour' AND h0 < date_trunc('hour', now()) - interval '18 hours')::numeric, 2) AS "8 nuits sur 10 sous",
|
||||
round((max(kwh) FILTER (WHERE h0 >= (CASE WHEN extract(hour FROM now() AT TIME ZONE 'Europe/Paris') >= 18
|
||||
THEN date_trunc('day', now() AT TIME ZONE 'Europe/Paris') + interval '18 hours'
|
||||
ELSE date_trunc('day', now() AT TIME ZONE 'Europe/Paris') - interval '6 hours' END) AT TIME ZONE 'Europe/Paris'))::numeric, 2) AS "Cette nuit"
|
||||
FROM cadre
|
||||
GROUP BY heure, rang
|
||||
ORDER BY rang
|
||||
Reference in New Issue
Block a user