Enhancing South Africa’s power grid management with AI: deep learning models for short-term forecasting of Eskom’s renewable generation under weather uncertainty

Short-Term Load Forecasting Method for Renewable Energy Integration and Grid Stability Using CNN, LSTM, and Transformer Models

This study examines the feasibility of combining Morocco's renewable energy plan with artificial int

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

A Novel Deep Learning‐Based Data Analysis Model for Solar Photovoltaic Power Generation and Electrical Consumption Forecasting in the Smart Power Grid

With the installation of solar panels around the world and the permanent fluctuation of climatic fac

Forecasting Short-Term Peak Load Demand in the Libyan Power Grid using Multiple Regression Model

The demand for energy, particularly electricity, has been rising rapidly around the world and plays

Stacked Hybrid Ensemble Learning for Enhanced Short-Term Load Forecasting in Developing Power Grids

Accurate short-term load forecasting (STLF) is critical for reliable and cost-effective power system

Repurposing South Africa’s Retiring Coal-Fired Power Stations for Renewable Energy Generation: A Techno-Economic Analysis

South Africa is one of the most carbon-intensive economies in the world, but it is presently experie