Application of LSTM and Transformer Hybrid Model for Electricity Consumption Forecasting
Yaling Zhang · Journal of Energy Research and Reviews · 2025
With the growing energy demand and the increasing intelligence of power systems, accurate electricity load forecasting is crucial for grid scheduling and energy management. In recent years, deep learning methods have made significant progress in time series forecasting, with Tran...
Open access
Research Article
10.9734/jenrr/2025/v17i6423