ML forecasting models require training with measured/observed data, such as power generation data (for wind or solar sites) or consumption data (for load sites). Ensure that the power values are provided in kilowatts [kW].
Upload measured data
import requests

api_key = "Your API key" # Set your API key
site_id = "a923653c-26f1-1b29-955d-ffde5d182276" # Set the site ID

payload = {
    "data": [
        {
            "valid_time": "2022-05-16T13:00:00Z",
            "value": 140.0
        },
        {
            "valid_time": "2022-05-16T14:00:00Z",
            "value": 510.0
        },
        {
            "valid_time": "2022-05-16T15:00:00Z",
            "value": 1260.0
        }
    ]
}

url = f"https://api.rebase.energy/platform/v2/sites/{site_id}/actual"
headers = {"Authorization": api_key, "Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)
response.raise_for_status()
response = response.json()
Response example
{
    "message": "Actuals uploaded successfully"
}