Short-term load forecasting model for TSOs (LightGBM)
A global forecasting service for predicting the aggregated hourly net electrical load of 20 European transmission system operators (Belgium, Czech Republic, Denmark, Estonia, Estonia, Finland, France, Greece, Hungary, Italy, Latvia, Lithuania, the Netherlands, Norway, Portugal, Romania, Slovakia, Slovenia, the Netherlands, Portugal, Romania, Slovakia,
Spain, Sweden, Switzerland and Spain). The service makes use of an LightGBM network. (AIExperiments Asset)
This is a forecasting service for predicting the aggregated hourly net electrical load of 20 European transmission system operators (Belgium, Czech Republic, Denmark, Estonia, Estonia, Finland, France, Greece, Hungary, Italy, Latvia, Lithuania, the Netherlands, Norway, Portugal, Romania, Slovakia, Slovenia, the Netherlands, Portugal, Romania, Slovakia, Spain, Sweden, Switzerland and Spain). The core of the service is an LightGBM model. The model has been trained on the load time series for the years 2015 - 2019. The service is served as a docker container and a client script is also provided to help the user form their inference requests. The model is totally configurable in terms of:
- Predicted country: Chose the country code that needs to be predicted. Country codes supported are:
- Belgium: BE
- Czech Republic: CZ
- Denmark: DK
- Estonia: EE
- Finland: FI
- France: FR
- Greece: GR
- Hungary: HU
- Italy: IT
- Latvia: LV
- Lithuania: LT
- Netherlands: NL
- Norway: NO
- Portugal: PT
- Romania: RO
- Slovakia: SK
- Slovenia: SI
- Spain: ES
- Sweden: SE
- Switzerland: CH
- Provided ground truth data points: The client can update the existing model with the desired length of new data points that have been observed.
- Forecast horizons: The client can request a forecast horizon of their preference. This model has been developed within I-NERGY project. This asset has been published in AIExperiments.
This model has been developed within I-NERGY project. This asset has been published in AIExperiments.