IEEE

Enhancing Short-Term Electric Load Forecasting for Households Using Quantile LSTM and Clustering-Based Probabilistic Approach

Abstract: Electricity load forecasting is an essential part of power system planning and operation, and it is crucial to make accurate predictions. The smart grid paradigm and the new energy market ...
IEEE

Comparison between LSTM and Bi-LSTM for Wind Speed Forecasting

Abstract: Weather forecasting is an important part of fields such as renewable energy, aviation, weather and climate science. This article examines the performance of LSTM and BI-LSTM neural networks ...