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  "uid": "evcs-nuit",
  "title": "La nuit",
  "description": "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 tient maintenant en un coup d'oeil.",
  "tags": [
    "evcs"
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  "timezone": "Europe/Paris",
  "editable": true,
  "schemaVersion": 39,
  "version": 1,
  "refresh": "1m",
  "time": {
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          "uid": "-- Grafana --"
        },
        "enable": true,
        "hide": true,
        "name": "Annotations & Alerts",
        "iconColor": "rgba(0, 211, 255, 1)",
        "type": "dashboard"
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        "name": "Evenements",
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        "iconColor": "semi-dark-orange",
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        "target": {
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          "rawQuery": true,
          "editorMode": "code",
          "rawSql": "SELECT ts AS time, resume AS text, genre || ',' || coalesce(source,'?') AS tags FROM evenement WHERE $__timeFilter(ts) AND genre <> 'bilan' ORDER BY 1"
        }
      }
    ]
  },
  "panels": [
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      "type": "timeseries",
      "title": "Couverture de la nuit",
      "description": "SOC requis = ce qu'il faut MAINTENANT pour tenir jusqu'au croisement PV/conso. Il decroit avec la nuit qui se consomme. Quand la courbe reelle passe dessous, la batterie ne passera pas la nuit sans reseau.",
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          "editorMode": "code",
          "rawSql": "SELECT ts AS time,\n       soc_pct        AS \"SOC reel\",\n       soc_requis_pct AS \"SOC requis (bilan)\"\nFROM bilan\nWHERE $__timeFilter(ts)\nORDER BY 1"
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          "rawQuery": true,
          "editorMode": "code",
          "rawSql": "SELECT ts AS time, valeur AS \"Cible du matin\"\nFROM mesure\nWHERE cle = 'input_number.victron_evcs_night_target_soc'\n  AND $__timeFilter(ts)\nORDER BY 1"
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                  "fixedColor": "orange"
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          {
            "matcher": {
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                  "mode": "fixed",
                  "fixedColor": "purple"
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        }
      }
    },
    {
      "type": "timeseries",
      "title": "Marge (reel moins requis)",
      "description": "Sous zero, il manque de l'energie pour finir la nuit. La nuit du 02-03/09 est restee negative de bout en bout, et personne ne le voyait.",
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          "rawQuery": true,
          "editorMode": "code",
          "rawSql": "SELECT ts AS time, soc_pct - soc_requis_pct AS \"Marge\"\nFROM bilan\nWHERE $__timeFilter(ts) AND soc_requis_pct IS NOT NULL\nORDER BY 1"
        }
      ],
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              },
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                "value": 0
              }
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        "overrides": []
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      "options": {
        "legend": {
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        },
        "tooltip": {
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          "sort": "none"
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      }
    },
    {
      "type": "state-timeline",
      "title": "Ce que le controleur a decide",
      "description": "Une ligne par CHANGEMENT de decision, pas une toutes les 30 s. La session reseau de nuit doit s'engager UNE fois et se relacher a la fermeture de la fenetre : plusieurs bascules = un oscillateur.",
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          },
          "format": "table",
          "rawQuery": true,
          "editorMode": "code",
          "rawSql": "SELECT ts AS time,\n       source_mode                                          AS \"Source\",\n       etat                                                 AS \"Etat\",\n       CASE WHEN session_engagee THEN 'engagee' ELSE '-' END AS \"Session reseau\",\n       CASE WHEN takeover_reseau THEN 'demande' ELSE '-' END AS \"Reprise reseau\"\nFROM decision\nWHERE $__timeFilter(ts)\nORDER BY 1"
        }
      ],
      "gridPos": {
        "x": 0,
        "y": 9,
        "w": 24,
        "h": 7
      },
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            "spanNulls": true
          },
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            {
              "type": "value",
              "options": {
                "-": {
                  "color": "dark-blue",
                  "index": 0
                },
                "engagee": {
                  "color": "orange",
                  "index": 1
                },
                "demande": {
                  "color": "semi-dark-orange",
                  "index": 2
                }
              }
            }
          ]
        },
        "overrides": []
      },
      "options": {
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        "mergeValues": true,
        "alignValue": "left",
        "rowHeight": 0.85,
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          "showLegend": false
        },
        "tooltip": {
          "mode": "single"
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      }
    },
    {
      "type": "timeseries",
      "title": "Les puissances de la nuit",
      "description": "Batterie positive = elle se charge. Contacteur ferme avec un import qui ne couvre pas la maison = la batterie paie quand meme : c'est le defaut du 04/09 (consigne retombee a 50 W en pleine session).",
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          },
          "format": "time_series",
          "rawQuery": true,
          "editorMode": "code",
          "rawSql": "WITH par_minute AS (\n  SELECT date_trunc('minute', ts) AS t,\n         avg(valeur) FILTER (WHERE cle = 'sensor.victron_grid_power_l1') AS Reseau,\n         (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_grid_power_l1'))[1] AS d_Reseau,\n         avg(valeur) FILTER (WHERE cle = 'sensor.victron_battery_power') AS Batterie,\n         (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_battery_power'))[1] AS d_Batterie,\n         avg(valeur) FILTER (WHERE cle = 'sensor.victron_consumption_power_l1') AS Maison,\n         (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_consumption_power_l1'))[1] AS d_Maison,\n         avg(valeur) FILTER (WHERE cle = 'sensor.victron_evcs_ac_power') AS Voiture,\n         (array_agg(valeur ORDER BY ts DESC) FILTER (WHERE cle = 'sensor.victron_evcs_ac_power'))[1] AS d_Voiture\n  FROM mesure WHERE $__timeFilter(ts) GROUP BY 1\n),\npaliers AS (\n  SELECT t,\n         Reseau, count(d_Reseau) OVER (ORDER BY t) AS g_Reseau,\n         Batterie, count(d_Batterie) OVER (ORDER BY t) AS g_Batterie,\n         Maison, count(d_Maison) OVER (ORDER BY t) AS g_Maison,\n         Voiture, count(d_Voiture) OVER (ORDER BY t) AS g_Voiture,\n         d_Reseau,\n         d_Batterie,\n         d_Maison,\n         d_Voiture\n  FROM par_minute\n),\nreport AS (\n  SELECT t,\n         coalesce(Reseau, first_value(d_Reseau) OVER (PARTITION BY g_Reseau ORDER BY t)) AS Reseau,\n         coalesce(Batterie, first_value(d_Batterie) OVER (PARTITION BY g_Batterie ORDER BY t)) AS Batterie,\n         coalesce(Maison, first_value(d_Maison) OVER (PARTITION BY g_Maison ORDER BY t)) AS Maison,\n         coalesce(Voiture, first_value(d_Voiture) OVER (PARTITION BY g_Voiture ORDER BY t)) AS Voiture\n  FROM paliers\n)\nSELECT t AS time,\n         Reseau AS \"Reseau\",\n         Batterie AS \"Batterie\",\n         Maison AS \"Maison\",\n         Voiture AS \"Voiture\"\nFROM report ORDER BY t"
        }
      ],
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        "x": 0,
        "y": 16,
        "w": 12,
        "h": 8
      },
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        "defaults": {
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          "custom": {
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            "fillOpacity": 8,
            "showPoints": "never",
            "spanNulls": true,
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            "matcher": {
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              "options": "Reseau"
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                "id": "color",
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                  "mode": "fixed",
                  "fixedColor": "red"
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          },
          {
            "matcher": {
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              "options": "Batterie"
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                  "mode": "fixed",
                  "fixedColor": "green"
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          },
          {
            "matcher": {
              "id": "byName",
              "options": "Maison"
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                  "mode": "fixed",
                  "fixedColor": "text"
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              {
                "id": "custom.fillOpacity",
                "value": 0
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          },
          {
            "matcher": {
              "id": "byName",
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              {
                "id": "color",
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                  "mode": "fixed",
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      },
      "options": {
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          "calcs": []
        },
        "tooltip": {
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          "sort": "desc"
        }
      }
    },
    {
      "type": "timeseries",
      "title": "Ce qu'il reste a couvrir",
      "description": "\"Manque de stockage\" non nul = meme pleine, la batterie actuelle ne passe pas. C'est le signal de dimensionnement pour l'extension prevue cet hiver, pas une erreur.",
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          "rawQuery": true,
          "editorMode": "code",
          "rawSql": "SELECT ts AS time,\n       energie_a_couvrir_kwh AS \"A couvrir d'ici le croisement\",\n       reseau_energie_kwh    AS \"Dont reseau necessaire\",\n       manque_stockage_kwh   AS \"Manque de stockage\"\nFROM bilan\nWHERE $__timeFilter(ts)\nORDER BY 1"
        }
      ],
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        "y": 16,
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        "h": 8
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      }
    },
    {
      "type": "table",
      "title": "Journal des evenements",
      "description": "Une courbe sans ses evenements ne s'interprete pas. Ces lignes apparaissent aussi en marqueurs verticaux sur tous les graphiques.",
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          "editorMode": "code",
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      ],
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        "w": 24,
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                  "type": "color-text"
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                  {
                    "type": "value",
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                      "deploiement": {
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                      },
                      "incident": {
                        "color": "red",
                        "index": 1
                      },
                      "intervention": {
                        "color": "orange",
                        "index": 2
                      },
                      "systeme": {
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                        "index": 3
                      },
                      "reseau": {
                        "color": "yellow",
                        "index": 4
                      },
                      "vehicule": {
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                    }
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          {
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      }
    },
    {
      "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.",
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          "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 soiree_kwh AS \"Soiree\", maison_nuit_kwh AS \"Nuit sans voiture\" FROM nuits WHERE voiture_kwh < 0.5 ORDER BY 1"
        },
        {
          "refId": "B",
          "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 soiree_kwh AS \"Soiree\", maison_nuit_kwh AS \"Nuit avec voiture\" FROM nuits WHERE voiture_kwh >= 0.5 ORDER BY 1"
        },
        {
          "refId": "C",
          "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)\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"
        },
        {
          "refId": "D",
          "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),\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"
        }
      }
    }
  ]
}