R. Mathumitha

ConvLSTMNet-EMD: leveraging 1D-convolutional encoder-decoder model with self-attention mechanism for improved energy consumption forecasting

Providing a constant, economic, and dependable energy source to end users is a difficult and complex task. To overcome these challenges, energy providers rely on precise load forecasting, especially during periods of peak demand. Although existing deep learning models show potent...