Wind Energy Prediction API
Wind Energy Prediction API
Wind Energy Prediction API provides a forecast of expected electricity generation for wind turbines at a specified location.
The API combines high-resolution wind forecasts with turbine performance parameters to estimate the expected power output.
The forecast is provided with a 15-minute time step and covers up to 16 days ahead, enabling accurate planning for renewable energy operations, grid management, and energy trading.
The API allows users to configure turbine characteristics and operational parameters to better reflect the real-world performance of specific wind turbines.
/wind-heights/1.0/forecast/power_generationhttps://demo.openweathermap.org/wind-
heights/1.0/forecast/power_generation?lat=40.7128&lon=-74.006&altitude_meters=10&turbine_power_w=80000&cut_in_speed=1&appid=YOUR_API_KEYAPI request parameters
Parameter | Type | Description |
lat | float | Latitude of the location |
lon | float | Longitude of the location |
altitude_meters | integer | Height of the wind turbine hub above ground level in meters |
turbine_power_w | integer | Rated power of the wind turbine in watts |
These parameters allow tuning the turbine power curve and operational characteristics. If not provided, the API uses default values.
Parameter | Type | Default value | Description |
cut_in_speed | float | 3.0 | Wind speed (m/s) at which the turbine starts generating power |
rated_speed | float | 12.0 | Wind speed (m/s) at which the turbine reaches rated power output |
cut_out_speed | float | 25.0 | Wind speed (m/s) at which the turbine shuts down to prevent damage |
reference_density | float | 1.225 | Reference air density (kg/m³) used for power calculations |
gas_constant_dry_air | float | 287.05 | Gas constant for dry air used in density calculations |
availability_factor | float | 0.95 | Fraction of time the turbine is available for operation (accounts for maintenance and downtime) |
electrical_losses | float | 0.97 | Efficiency factor accounting for electrical system losses |
wake_losses | float | 0.90 | Efficiency factor accounting for wake effects and aerodynamic losses in wind farms |
{
"latitude": 40.7128,
"longitude": -74.006,
"altitude_meters": 10,
"elevation_meters": 5,
"target_pressure_hpa": 1011,
"turbine_power_w": 80000,
"step_minutes": 15,
"timestamp": "2026-03-16T11:10:41.896670",
"forecast_data": [
{
"forecast_timestamp": "2026-03-16T00:00:00",
"temperature_1011hPa": {
"value": 6.13,
"units": "Celsius",
"height": 1011
},
"wind_1011hPa": {
"speed": 6.8,
"direction": 112.4,
"units": {
"speed": "m/s",
"direction": "degrees"
},
"height": 1011
},
"generated_power_w": 12397.56
},
{
"forecast_timestamp": "2026-03-16T00:15:00",
"temperature_1011hPa": {
"value": 6.23,
"units": "Celsius",
"height": 1011
},
"wind_1011hPa": {
"speed": 6.81,
"direction": 113.7,
"units": {
"speed": "m/s",
"direction": "degrees"
},
"height": 1011
},
"generated_power_w": 12448.03
},
{
"forecast_timestamp": "2026-03-16T00:30:00",
"temperature_1011hPa": {
"value": 6.33,
"units": "Celsius",
"height": 1011
},
"wind_1011hPa": {
"speed": 6.83,
"direction": 115.1,
"units": {
"speed": "m/s",
"direction": "degrees"
},
"height": 1011
},
"generated_power_w": 12553.86
},
…
],
"algorithm_parameters": {
"cut_in_speed": 1,
"rated_speed": 12,
"cut_out_speed": 25,
"reference_density": 1.225,
"gas_constant_dry_air": 287.05,
"availability_factor": 0.95,
"electrical_losses": 0.97,
"wake_losses": 0.9,
"use_density_correction": true
}
}