Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention

no code implementations • 6 Aug 2020 • Elizaveta Kharlova, Daniel May, Petr Musilek

The proposed model is based on two seminal concepts that led to significant performance improvements of deep learning approaches in other sequence-related fields, but not yet in the area of time series prediction: the sequence to sequence architecture and attention mechanism as a context generator.

Time Series Time Series Prediction