Designing a long short-term network for short-term forecasting of global horizontal irradiance

Abstract Long short-term memory (LSTM) models based on specialized deep neural network-based architecture have emerged as an important model for forecasting time-series. However, the literature does not provide clear guidelines for design choices, which affect forecasting performance. Such choices i... View More