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

Electrical Load Forecasting Using Artificial Neural Network: The Case Study of the Grid Inter-Connected Network of Benin Electricity Community (CEB)

Short-Term Electricity Generation Forecasting Using Machine Learning Algorithms: A Case Study of the Benin Electricity Community (C.E.B)

Time series forecasting in the energy sector is important to power utilities for decision making to

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

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

A Comparative Study of Short-Term Load Forecasting in the Electricity Distribution Networks of Nigeria Using Deep Learning Algorithms

Abstract In the Nigerian distribution system, it is of essence that precise load f

Electricity Consumption Forecasting in Algeria using ARIMA and Long Short-Term Memory Neural Network

International audience Forecasting electricity consumption is necessary for electric