Ahmed Saadi

A Computer Vision techniques and Transformer-Based Framework for Short-Term Energy Consumption Forecasting in Smart Grids

Accurate short-term energy consumption forecasting is critical for the efficient operation of smart grids to balance the loads in advance, implement demand response on the consumer side, and reduce distribution costs. However, most of the existing deep learning methods, including LSTMs and CNN-based models, are unable...