Green Powers Forecast - interactive map and API with forecasts for electricity production from wind

API

Based on weather forecast and electric-grid data...

...with AI algorithms, we have created 5-days forecasts for electricity generation from wind

You can sync your app with our forecasting REST API

And manage electric power consumption by your IoT devices

Step by step sync example:

Develop your application
Connect to our 5-days long wind electric power production forecast REST API
Learn when there will be the most green & cheap energy
Plan in advance electric power consumption by final devices
Make money and environmental savings!

Based on sync with our REST API wind electric power forecasts you can plan for next 5 days how to use electric devices to:

Charge your electric car

Charge home battery

Heat your house with heat-pump

Plan most electric power consuming processes in factory

...all these above when electricity power is THE CHEAPEST AND THE GREENEST!

Read more in "About" page (top menu).

Connect with REST API

Our forecasting API is free and open to use by everyone. Feel free to use it and combine with your application.
IMPORTANT! As we are still in demo-phase, we do not guarantee full stability of the API and connection!

METHOD: POST

Headers:

Content-Type: application/json

URL:

http://greenenergydata19892023.dev-bay.com/power-forecast

Body pattern:

{"country":["country_iso_code_1", "country_iso_code_2"]}

Body example:

All JSON entries with forecast data are always in a hourly intervals.
wind_power - this param is a forecasted value of electric power production in MW (megawatts) in a given hours.
time_iso - gives accurate time of forecast in UTC-0 timezone.
time - human readable accurate time of forecast in UTC-0 timezone.
forecast_start_time - start of the forecast, time in UTC-0 timezone.

{"country":["HU"]}

Response example:


{
  "res": {
    "data": [
      {
        "country_code": "HU",
        "wind_power": 25.187473,
        "time_iso": "2024-01-18T21:00:00.000Z",
        "time": "18 Jan 22:00",
        "forecast_start_time": "2024-1-13 01:00"
      },
      {
        "country_code": "HU",
        "wind_power": 25.513737,
        "time_iso": "2024-01-18T22:00:00.000Z",
        "time": "18 Jan 23:00",
        "forecast_start_time": "2024-1-13 01:00"
      },
      {
        "country_code": "HU",
        "wind_power": 23.229898,
        "time_iso": "2024-01-18T23:00:00.000Z",
        "time": "19 Jan 00:00",
        "forecast_start_time": "2024-1-13 01:00"
      },
      {
        "country_code": "HU",
        "wind_power": 137.16081,
        "time_iso": "2024-01-18T21:00:00.000Z",
        "time": "18 Jan 22:00",
        "forecast_start_time": "2024-1-14 01:00"
      }
    ]
  }
}