Optimizing solar power generation forecasting in smart grids: A hybrid convolutional neural network-autoencoder long short-term memory approach
Incorporating zero-carbon emission sources of energy into the electric grid is essential to
meet the growing energy needs in public and industrial sectors. Smart grids, with their …
meet the growing energy needs in public and industrial sectors. Smart grids, with their …
Improved solar power prediction using cnn-lstm models for optimized smart grid performance
During the fourth energy revolution, the integration of Artificial Intelligence (AI) across
various technological fields is critical to meet rising energy demands and address the …
various technological fields is critical to meet rising energy demands and address the …