Short-term forecasting of rooftop retrofitted photovoltaic power generation using machine learning

This paper explores short-term forecasting of rooftop retrofitted photovoltaic (PV) power generation using a Neural Networks (NN) model, highlighting its importance for energy management and grid integration. The study used data from the Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) of the F...

Full description

Bibliographic Details

Main Authors:	Mohd Herwan, Sulaiman, Mohd Shawal, Jadin, Zuriani, Mustaffa, Hamdan, Daniyal, Mohd Nurulakla, Mohd Azlan
Format:	Article
Language:	en en
Published:	Elsevier Ltd 2024
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/42350/1/Short-term%20forecasting%20of%20rooftop%20retrofitted%20photovoltaic_ABST.pdf http://umpir.ump.edu.my/id/eprint/42350/2/Short-term%20forecasting%20of%20rooftop%20retrofitted%20photovoltaic.pdf http://umpir.ump.edu.my/id/eprint/42350/ https://doi.org/10.1016/j.jobe.2024.109948
Tags:	Add Tag No Tags, Be the first to tag this record!