Multi-layer hybrid model power generation prediction method and computing system

A non-transitory computer readable medium, storing instructions for generating a multi-layer hybrid model power generation prediction, comprising:

• extracting features from historical data of one or more renewable energy systems;
• generating a layer 1 prediction model from the extracted features;
• generating a plurality of layer 2 prediction models based on a combination of an output from the layer 1 prediction model, an output from layer 3 prediction models, and the extracted features;
• generating the at least one layer 3 hybrid prediction model based on an output of a selection of layer 2 prediction models from the plurality of layer 2 prediction models;
• and
• executing the at least one layer 3 hybrid prediction model on new data received from the one or more renewable energy systems to provide prediction on power generation of the one or more renewable energy systems,
• wherein the generating the at least one layer 3 hybrid prediction model based on the output of the selection of the layer 2 prediction models from the plurality of layer 2 prediction models comprises:
• generating the at least one layer 3 hybrid prediction model from the selection of the layer 2 prediction models and the output of the selection of the layer 2 prediction models;
• and
• executing post-processing comprising a smoothing process and a hyper-parameters tuning process on the at least one layer 3 hybrid prediction model.

An apparatus communicatively coupled to one or more renewable energy systems, the apparatus, comprising:

• a processor, configured to:
• receive data from the one or more renewable energy systems;
• extract features from the data from the one or more renewable energy systems;
• execute a layer 1 prediction model to generate a first output;
• execute a plurality of layer 2 prediction models on the output from the layer 1 prediction model, the extracted features, and the additional features;
• and
• provide output from the plurality of layer 2 prediction models to a layer 3 hybrid prediction model to provide prediction on power generation of the one or more renewable energy systems,
• wherein the layer 3 hybrid prediction model is generated based on an output of a selection of layer 2 prediction models from the plurality of layer 2 prediction models, and
• wherein a post-processing comprising a smoothing process and a hyper-parameters tuning process is executed on the layer 3 hybrid prediction model.