Comparative analysis of deep neural network architectures for renewable energy forecasting: enhancing accuracy with meteorological and time-based features
This study evaluates and differentiates five advanced machine learning models—LSTM,
GRU, CNN-LSTM, Random Forest, and SVR—aimed at precisely estimating solar and wind …
GRU, CNN-LSTM, Random Forest, and SVR—aimed at precisely estimating solar and wind …