Day-Ahead and Week-Ahead Solar PV Power Forecasting Using Deep Learning Neural Networks

Day Ahead Forecasting of Photovoltaic Power Output in Maiduguri Using Feedforward Neural Network

With the increasing use of large scale grid-connected PV system, accurate forecasting approach for t

Day-ahead residential power load forecasting using adaptive online learning and Particle Swarm Optimization

International audience Day-ahead load forecasting is essential for improving resident

Day-Ahead Electricity Demand Forecasting: Post-COVID Paradigm

The ongoing COVID-19 related shutdowns has had a profound impact on the electric demand profiles wor

Analysis of optimal power flow for day-ahead scheduling in South Africa using biologically inspired algorithms

Introduction The South African electricity supply sector is undergoing structu

Comparative analysis of Kolmogorov–Arnold and recurrent neural networks for day-ahead photovoltaic forecasting with Metaheuristic optimization for cost and battery management at Green Energy Park, Morocco

Day-Ahead Electric Load Forecast for a Ghanaian Health Facility Using Different Algorithms

Ghana suffers from frequent power outages, which can be compensated by off-grid energy solutions. Ph