An advanced Deep Learning pipeline for spatio-temporal wind speed forecasting using ConvLSTM, PredRNN, and a state-of-the-art Transformer model (PredFormer Fac-T-S). This project handles the entire ...
Abstract: Wind energy and renewables, in general, would lead the way for changing the worldwide electricity industry and assist countries to meet Paris climate aims of reducing CO2 emissions by 2050.
Abstract: A novel wind speed forecasting model is proposed in this paper, Fusion-Graph Convolutional Network and Gated Recurrent Unit (Fusion-GCNGRU), that integrates spatial and temporal features ...
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