{
  "schema_version": "1.0",
  "generated_at": "2026-08-04T18:53:46.778292Z",
  "location": {
    "city_id": "banska-bystrica",
    "city": "Banská Bystrica",
    "country_code": "SK",
    "country": "Slovakia",
    "latitude": 48.7395,
    "longitude": 19.1493,
    "timezone": "Europe/Bratislava"
  },
  "reference_system": {
    "installedKwp": 10,
    "orientation": "S",
    "tiltDeg": 35,
    "systemLossPct": 14
  },
  "tomorrow_forecast": {
    "cityId": "banska-bystrica",
    "name": "Banská Bystrica",
    "lat": 48.7395,
    "lon": 19.1493,
    "timezone": "Europe/Bratislava",
    "featured": false,
    "targetDate": "2026-08-05",
    "expectedKwh": 54.3,
    "lowKwh": 47.7,
    "highKwh": 55.4,
    "bestWindowStart": "2026-08-05T11:00:00+02:00",
    "bestWindowEnd": "2026-08-05T15:00:00+02:00",
    "confidence": "high",
    "fetchedAt": "2026-08-04T18:53:46.778292Z",
    "freshness": "fresh",
    "stale": false
  },
  "typical_year": {
    "lat": 48.7395,
    "lon": 19.1493,
    "annualKwh": 11732.81,
    "averageDailyKwh": 32.14,
    "monthly": [
      {
        "month": 1,
        "averageDailyKwh": 15.44,
        "monthlyKwh": 478.75,
        "variabilityKwh": 141.4
      },
      {
        "month": 2,
        "averageDailyKwh": 25.15,
        "monthlyKwh": 704.1,
        "variabilityKwh": 149.27
      },
      {
        "month": 3,
        "averageDailyKwh": 35.07,
        "monthlyKwh": 1087.24,
        "variabilityKwh": 201.54
      },
      {
        "month": 4,
        "averageDailyKwh": 41.9,
        "monthlyKwh": 1257.13,
        "variabilityKwh": 164.39
      },
      {
        "month": 5,
        "averageDailyKwh": 42.49,
        "monthlyKwh": 1317.04,
        "variabilityKwh": 182.3
      },
      {
        "month": 6,
        "averageDailyKwh": 45.2,
        "monthlyKwh": 1356.1,
        "variabilityKwh": 157.28
      },
      {
        "month": 7,
        "averageDailyKwh": 45.07,
        "monthlyKwh": 1397.02,
        "variabilityKwh": 104.5
      },
      {
        "month": 8,
        "averageDailyKwh": 42.55,
        "monthlyKwh": 1319.08,
        "variabilityKwh": 139.65
      },
      {
        "month": 9,
        "averageDailyKwh": 36.93,
        "monthlyKwh": 1107.79,
        "variabilityKwh": 150.11
      },
      {
        "month": 10,
        "averageDailyKwh": 27.11,
        "monthlyKwh": 840.44,
        "variabilityKwh": 149.85
      },
      {
        "month": 11,
        "averageDailyKwh": 15.92,
        "monthlyKwh": 477.51,
        "variabilityKwh": 100.9
      },
      {
        "month": 12,
        "averageDailyKwh": 12.6,
        "monthlyKwh": 390.61,
        "variabilityKwh": 88.63
      }
    ]
  },
  "comparison": {
    "annual_output_rank_in_country_sample": 2,
    "country_city_count": 5,
    "annual_yield_kwh_per_kwp": 1173.281
  },
  "sources": {
    "tomorrow": {
      "weather": {
        "source_id": "OPEN_METEO",
        "name": "Open-Meteo weather forecast",
        "public_display_allowed": true,
        "requires_commercial_license": true,
        "terms_url": "https://open-meteo.com/en/terms",
        "pricing_url": "https://open-meteo.com/en/pricing"
      },
      "model": {
        "source_id": "GRIDPASSPORT_PV_PUBLIC_V1",
        "name": "GridPassport public PV forecast model",
        "description": "Weather-based physical PV estimate with public-safe inputs."
      },
      "attribution": {
        "text": "Weather forecast by Open-Meteo, PV estimate by GridPassport.",
        "transformation_notes": "GridPassport projects irradiance onto the configured PV array and applies public lead-magnet loss assumptions."
      }
    },
    "typical_year": {
      "name": "European Commission Joint Research Centre PVGIS 5.3",
      "url": "https://joint-research-centre.ec.europa.eu/photovoltaic-geographical-information-system-pvgis_en",
      "api": "https://re.jrc.ec.europa.eu/api/v5_3/PVcalc",
      "method": "Monthly average fixed-system output calculated from a multi-year solar radiation and climate series."
    }
  },
  "methodology_url": "https://gridpassport.com/solar-forecast/methodology/"
}