Next-hour electrical load forecasting using an artificial neural network: Applicability in the Philippines

Load forecasting remains as an important activity for the power systems industry, being a critical system. With the increasing amount of implemented microgrids across the Philippines, there is merit in investigating localized load forecasting schemes for use in assigning the dispatch of the microgri...

Full description

Saved in:

Bibliographic Details
Main Authors:	Torrizo, Lorwin Felimar, Africa, Aaron Don M.
Format:	text
Published:	Animo Repository 2019
Subjects:	Electric power distribution > Philippines Electric power consumption—Philippines > Forecasting Electric power systems > Philippines Neural networks (Computer science) Electrical and Electronics
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/1937
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-2936
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-29362022-06-08T11:53:26Z Next-hour electrical load forecasting using an artificial neural network: Applicability in the Philippines Torrizo, Lorwin Felimar Africa, Aaron Don M. Load forecasting remains as an important activity for the power systems industry, being a critical system. With the increasing amount of implemented microgrids across the Philippines, there is merit in investigating localized load forecasting schemes for use in assigning the dispatch of the microgrid’s resource at any given time. This study reviews the use of an artificial neural network (ANN) as a next-hour load forecasting method in the Philippine setting. © 2019, World Academy of Research in Science and Engineering. All rights reserved. 2019-05-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/1937 Faculty Research Work Animo Repository Electric power distribution--Philippines Electric power consumption—Philippines--Forecasting Electric power systems--Philippines Neural networks (Computer science) Electrical and Electronics
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Electric power distribution--Philippines Electric power consumption—Philippines--Forecasting Electric power systems--Philippines Neural networks (Computer science) Electrical and Electronics
spellingShingle	Electric power distribution--Philippines Electric power consumption—Philippines--Forecasting Electric power systems--Philippines Neural networks (Computer science) Electrical and Electronics Torrizo, Lorwin Felimar Africa, Aaron Don M. Next-hour electrical load forecasting using an artificial neural network: Applicability in the Philippines
description	Load forecasting remains as an important activity for the power systems industry, being a critical system. With the increasing amount of implemented microgrids across the Philippines, there is merit in investigating localized load forecasting schemes for use in assigning the dispatch of the microgrid’s resource at any given time. This study reviews the use of an artificial neural network (ANN) as a next-hour load forecasting method in the Philippine setting. © 2019, World Academy of Research in Science and Engineering. All rights reserved.
format	text
author	Torrizo, Lorwin Felimar Africa, Aaron Don M.
author_facet	Torrizo, Lorwin Felimar Africa, Aaron Don M.
author_sort	Torrizo, Lorwin Felimar
title	Next-hour electrical load forecasting using an artificial neural network: Applicability in the Philippines
title_short	Next-hour electrical load forecasting using an artificial neural network: Applicability in the Philippines
title_full	Next-hour electrical load forecasting using an artificial neural network: Applicability in the Philippines
title_fullStr	Next-hour electrical load forecasting using an artificial neural network: Applicability in the Philippines
title_full_unstemmed	Next-hour electrical load forecasting using an artificial neural network: Applicability in the Philippines
title_sort	next-hour electrical load forecasting using an artificial neural network: applicability in the philippines
publisher	Animo Repository
publishDate	2019
url	https://animorepository.dlsu.edu.ph/faculty_research/1937
_version_	1736864108469288960

Next-hour electrical load forecasting using an artificial neural network: Applicability in the Philippines

Similar Items