Use of Artificial Neural Networks for Short-Term Electricity Load Forecasting of Kenya National Grid Power System

Comparative Application of Artificial Neural Networks and ANFIS Techniques for Short-Term Load Forecasting in the Western Libyan Power Grid

The stability and economic efficiency of modern power systems rely profoundly o

Short-Term Electricity Load Forecasting Using K-Means Clustering - Artificial Neural Networks Hybrid Model: Case Study Of Benin Electricity Community (CEB)

Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks

The study of South African distribution (Dx.) network’s load forecasting using recent and state of t

Application of Artificial Neural Networks and Fuzzy Logic Methods for Short-Term Load Forecasting of the Western Libyan Electric Network

This research paper investigates the application of artificial neural networks (ANNs) and fuzzy logi

Short-Term Load Forecasting Based on CNN and LSTM Deep Neural Networks

International audience In the coming years, the world will witness a global transitio

Prediction intervals for electricity load forecasting using neural networks

Most of the research in time series is concerned with point forecasting. In this paper we focus on i