Next-hour electrical load forecasting using an artificial neural network: Applicability in the Philippines
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Article
Source Title
International Journal of Advanced Trends in Computer Science and Engineering
Volume
8
Issue
3
First Page
831
Last Page
835
Publication Date
5-1-2019
Abstract
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.
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Digitial Object Identifier (DOI)
10.30534/ijatcse/2019/77832019
Recommended Citation
Torrizo, L., & Africa, A. M. (2019). Next-hour electrical load forecasting using an artificial neural network: Applicability in the Philippines. International Journal of Advanced Trends in Computer Science and Engineering, 8 (3), 831-835. https://doi.org/10.30534/ijatcse/2019/77832019
Disciplines
Electrical and Electronics
Keywords
Electric power distribution--Philippines; Electric power consumption—Philippines--Forecasting; Electric power systems--Philippines; Neural networks (Computer science)
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