Ifidi Paul

A Comparative Analysis of BiLSTM-GRU and RNN Models for Smart Home Energy Consumption Forecasting

Energy conservation in smart homes is crucial for optimizing electricity usage, reducing costs, and contributing to sustainability efforts. This study evaluates the performance of two deep learning models, the Bidirectional Long Short-Term Memory with Gated Recurrent Units (BiLSTM-GRU) and the traditional Recurrent Neu...