rapport_optimisation.json

{
  "economies": {
    "1 — Sleep mode secteur": {
      "economie_kwh": 157190.58,
      "economie_pct": 9.24,
      "co2_evite_t": 83.31,
      "economie_dt": 62876.23,
      "n_eligible": 81755,
      "couverture_pct": 15.6,
      "objectif_10pct": false
    },
    "2 — Réduction puissance": {
      "economie_kwh": 50573.1,
      "economie_pct": 2.97,
      "co2_evite_t": 26.8,
      "economie_dt": 20229.24,
      "n_eligible": 139256,
      "couverture_pct": 26.5,
      "objectif_10pct": false
    },
    "3 — Free cooling": {
      "economie_kwh": 23500.67,
      "economie_pct": 1.38,
      "co2_evite_t": 12.46,
      "economie_dt": 9400.27,
      "n_eligible": 47626,
      "couverture_pct": 9.1,
      "objectif_10pct": false
    },
    "4 — Mode éco calendaire": {
      "economie_kwh": 1214.72,
      "economie_pct": 0.07,
      "co2_evite_t": 0.64,
      "economie_dt": 485.89,
      "n_eligible": 5259,
      "couverture_pct": 1.0,
      "objectif_10pct": false
    },
    "5 — Combinée (1+2+3+4)": {
      "economie_kwh": 232479.07,
      "economie_pct": 13.67,
      "co2_evite_t": 123.21,
      "economie_dt": 92991.63,
      "objectif_10pct": true
    },
    "5 — Alerte saturation 2G (surveillance)": {
      "n_observations": 11035,
      "couverture_pct": 2.1,
      "economie_kwh": 0,
      "action": "migration_3G_4G_ou_extension_capacite"
    },
    "baseline_kwh": 1700808.91,
    "baseline_co2_t": 901.43,
    "baseline_dt": 680323.56
  },
  "kpi_reseau": {
    "nb_stations": 66,
    "nb_mesures": 525706,
    "conso_totale_kwh": 1700808.91,
    "conso_moyenne_kwh": 3.2353,
    "eei_moyen": 103.36,
    "score_qos_moyen": 0.7614,
    "pct_mode_eco": 26.7,
    "pct_mode_critique": 3.01,
    "pct_anomalies": 6.47,
    "n_alertes_2g": 11035,
    "economie_combinee_pct": 13.67,
    "economie_combinee_kwh": 232479.0,
    "co2_evite_t": 123.2,
    "economie_dt": 92992.0,
    "meilleur_agent_rl": "Q-Learning UCB",
    "economie_rl_pct": 17.36,
    "economie_rl_kwh": 73490.0,
    "rl_violations_qos": 0,
    "rl_agents_comparaison": {
      "Q-Learning": {
        "eco_pct": 9.31,
        "n_viols": 0
      },
      "SARSA": {
        "eco_pct": 14.5,
        "n_viols": 0
      },
      "Double Q-Learning": {
        "eco_pct": 15.3,
        "n_viols": 0
      },
      "Expected SARSA": {
        "eco_pct": 15.25,
        "n_viols": 0
      },
      "Q-Learning UCB": {
        "eco_pct": 17.36,
        "n_viols": 0
      },
      "SARSA(λ)": {
        "eco_pct": 15.2,
        "n_viols": 0
      },
      "Monte Carlo": {
        "eco_pct": 8.15,
        "n_viols": 0
      }
    },
    "generated_at": "2026-05-21T13:56:10.701085",
    "economie_rl_episodique_pct": 0.68,
    "ecart_statique_vs_episodique": -16.68,
    "note_baseline": "Baseline = consommation mesurée 2024 sans optimisation active. Ne tient pas compte des pratiques manuelles déjà en place."
  },
  "couvertures": {
    "strat_1_sleep_pct": 15.6,
    "strat_2_reduction_pct": 26.5,
    "strat_3_free_cooling_pct": 16.1,
    "strat_4_eco_calendaire_pct": 1.0,
    "strat_5_alerte_2g_pct": 2.1
  },
  "rl_resultats_tous_agents": {
    "Q-Learning": {
      "economie_pct": 9.3074,
      "economie_kwh": 39410.43,
      "n_violations": 0,
      "pct_violations": 0.0,
      "class_name": "AgentQLearning",
      "reference": "Watkins & Dayan (1992)",
      "is_best": false
    },
    "SARSA": {
      "economie_pct": 14.4981,
      "economie_kwh": 61389.35,
      "n_violations": 0,
      "pct_violations": 0.0,
      "class_name": "AgentSARSA",
      "reference": "Rummery & Niranjan (1994)",
      "is_best": false
    },
    "Double Q-Learning": {
      "economie_pct": 15.3014,
      "economie_kwh": 64790.82,
      "n_violations": 0,
      "pct_violations": 0.0,
      "class_name": "AgentDoubleQLearning",
      "reference": "van Hasselt (2010)",
      "is_best": false
    },
    "Expected SARSA": {
      "economie_pct": 15.2459,
      "economie_kwh": 64555.67,
      "n_violations": 0,
      "pct_violations": 0.0,
      "class_name": "AgentExpectedSARSA",
      "reference": "van Seijen et al. (2009)",
      "is_best": false
    },
    "Q-Learning UCB": {
      "economie_pct": 17.3558,
      "economie_kwh": 73489.6,
      "n_violations": 0,
      "pct_violations": 0.0,
      "class_name": "AgentQLearningUCB",
      "reference": "Auer et al. (2002)",
      "is_best": true
    },
    "SARSA(λ)": {
      "economie_pct": 15.1972,
      "economie_kwh": 64349.72,
      "n_violations": 0,
      "pct_violations": 0.0,
      "class_name": "AgentSARSALambda",
      "reference": "Sutton (1988)",
      "is_best": false
    },
    "Monte Carlo": {
      "economie_pct": 8.151,
      "economie_kwh": 34513.93,
      "n_violations": 0,
      "pct_violations": 0.0,
      "class_name": "AgentMonteCarlo",
      "reference": "Sutton & Barto (1998)",
      "is_best": false
    }
  },
  "meilleur_agent": "Q-Learning UCB",
  "top_eco_agent": "Q-Learning UCB",
  "n_episodes": 1000,
  "generated_at": "2026-05-21T13:56:19.813317"
}