{
  "schema_version": "1.0",
  "generated_at": "2026-08-04T18:53:42.386552Z",
  "location": {
    "city_id": "newcastle-upon-tyne",
    "city": "Newcastle upon Tyne",
    "country_code": "GB",
    "country": "United Kingdom",
    "latitude": 54.9733,
    "longitude": -1.614,
    "timezone": "Europe/London"
  },
  "reference_system": {
    "installedKwp": 10,
    "orientation": "S",
    "tiltDeg": 35,
    "systemLossPct": 14
  },
  "tomorrow_forecast": {
    "cityId": "newcastle-upon-tyne",
    "name": "Newcastle upon Tyne",
    "lat": 54.9733,
    "lon": -1.614,
    "timezone": "Europe/London",
    "featured": false,
    "targetDate": "2026-08-05",
    "expectedKwh": 30.3,
    "lowKwh": 20.5,
    "highKwh": 39,
    "bestWindowStart": "2026-08-05T10:00:00+01:00",
    "bestWindowEnd": "2026-08-05T14:00:00+01:00",
    "confidence": "medium",
    "fetchedAt": "2026-08-04T18:53:42.386552Z",
    "freshness": "fresh",
    "stale": false
  },
  "typical_year": {
    "lat": 54.9733,
    "lon": -1.614,
    "annualKwh": 9496.57,
    "averageDailyKwh": 26.02,
    "monthly": [
      {
        "month": 1,
        "averageDailyKwh": 11.23,
        "monthlyKwh": 348.24,
        "variabilityKwh": 81.81
      },
      {
        "month": 2,
        "averageDailyKwh": 18.09,
        "monthlyKwh": 506.64,
        "variabilityKwh": 100.09
      },
      {
        "month": 3,
        "averageDailyKwh": 26.91,
        "monthlyKwh": 834.24,
        "variabilityKwh": 160.07
      },
      {
        "month": 4,
        "averageDailyKwh": 36.22,
        "monthlyKwh": 1086.54,
        "variabilityKwh": 147.34
      },
      {
        "month": 5,
        "averageDailyKwh": 39.09,
        "monthlyKwh": 1211.84,
        "variabilityKwh": 112.68
      },
      {
        "month": 6,
        "averageDailyKwh": 37.87,
        "monthlyKwh": 1136.06,
        "variabilityKwh": 131.79
      },
      {
        "month": 7,
        "averageDailyKwh": 37.46,
        "monthlyKwh": 1161.31,
        "variabilityKwh": 114.22
      },
      {
        "month": 8,
        "averageDailyKwh": 34.13,
        "monthlyKwh": 1058.17,
        "variabilityKwh": 100.01
      },
      {
        "month": 9,
        "averageDailyKwh": 29.05,
        "monthlyKwh": 871.43,
        "variabilityKwh": 95.33
      },
      {
        "month": 10,
        "averageDailyKwh": 19.08,
        "monthlyKwh": 591.44,
        "variabilityKwh": 82.64
      },
      {
        "month": 11,
        "averageDailyKwh": 13.45,
        "monthlyKwh": 403.35,
        "variabilityKwh": 64.38
      },
      {
        "month": 12,
        "averageDailyKwh": 9.27,
        "monthlyKwh": 287.32,
        "variabilityKwh": 47.13
      }
    ]
  },
  "comparison": {
    "annual_output_rank_in_country_sample": 7,
    "country_city_count": 12,
    "annual_yield_kwh_per_kwp": 949.6569999999999
  },
  "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/"
}