Skip to main content

​
Step 1. Add a new site

To create a site, start by clicking Add site in the top left corner of the screen.

​
Step 2. Choose the type of the site

In the following page, choose the type of the new site. Currently, three (3) site types are supported: Solar Power, Wind Power and Electricity Demand.

​
Step 3. Configure the site

Depending on your choice of the site type, the configuration will be different. Choose the site type you want to configure in the tabs below.

​
Set name and location

To create a PV power forecast, select Solar Power in the drop-down list. Continue by adding a name to the site and setting the location. This is done by adding the latitude and longitude of the location. You can use the map to check if the location is correct.

​
Set PV system parameters

You need to specify the values of the following PV system parameters.
  • Azimuth: the orientation of the PV panels. It should be in degree values between 0 and 360 (0-North, 90-East, 180-South, 270-West).
  • Tilt: the inclination of the PV panels. It should be in degree values between 0 and 90 (0-parallel, 90-perpendicular to ground).
  • Capacity: the capacity of the solar park in kilowatts (kW).
  • Install date: the date when the system was installed.
It is possible to add more PV systems by choosing Add another system. In that case, the power forecast will be corresponding to the total power generation of all the PV systems. This is useful for PV systems with multi-orientation or multi-inclination panels. For such PV systems, a new system with the corresponding capacity should be added for every inclination or orientation.Finally, you need to select the temporal resolution of the forecasts. There are four (4) options: 15 min, 30 min, 1 hour and 1 Day.

​
Advanced settings

You can choose to enable or disable special forecasting models.
  • Train Autoregressive Forecasting models: If checked, a model based on recent power observations will be trained for short-term forecasting. Power observations should be available in real time.
  • Train Long-Term Forecasting models: If checked, a model based on typical meteorological year will be trained for long-term forecasting.
  • Train Weather-Agnostic/Offline Forecasting models: If checked, a model that does not include any weather features will be trained.
  • Use physical models: If checked, physical forecasting models will be deployed. No training data are required for physical models to work.
Add additional weather points: By choosing Add weather point you can assign additional locations. This is useful for solar power forecasting in a greater area.

​
Step 4. Upload power measurements

Upload historical generation or demand data to train ML models. For wind or solar sites this is an optional step. If no power generation data are uploaded, then only physical models can be deployed. For better performance of the ML models, the power measurements are recommended to have hourly or sub-hourly resolution. The platform accepts csv or xlsx files. Find templates.