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Hybrid metaheuristic of artificial neural network - Bat algorithm in forecasting electricity production and water consumption at Sultan Azlan shah Hydropower plant

Hydroelectric power; Hydroelectric power plants; Neural networks; Bat algorithms; Bio-inspired algorithms; Electricity production; Forecasting electricity; Hybrid Meta-heuristic; Hydropower; Renewable energies; Water consumption; Electric power generation

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Bibliographic Details
Main Authors: Hussin S.N.H.S., Malek M.A., Jaddi N.S., Hamid Z.A.
Other Authors: 57194948280
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-231822023-05-29T14:38:14Z Hybrid metaheuristic of artificial neural network - Bat algorithm in forecasting electricity production and water consumption at Sultan Azlan shah Hydropower plant Hussin S.N.H.S. Malek M.A. Jaddi N.S. Hamid Z.A. 57194948280 55636320055 36716354300 52663349600 Hydroelectric power; Hydroelectric power plants; Neural networks; Bat algorithms; Bio-inspired algorithms; Electricity production; Forecasting electricity; Hybrid Meta-heuristic; Hydropower; Renewable energies; Water consumption; Electric power generation Hydropower is one of the technologies in renewable energy that is commercially viable on a large scale. A hybrid of metaheuristic Artificial Neural Network (ANN) technique with Bat Algorithm (BA), a bio-inspired algorithm is proposed to forecast future electricity production and water consumption at Sultan Azlan Shah Hydropower Dam located upstream of Perak river. In this study, both the ANN and Hybrid ANN-Bat Algorithm coding was designed and written explicitly to tailor the time series input data and assumptions used in this study. Comparison on results obtained from ANN and the proposed hybrid ANN - BA was conducted. Simulations conducted in this study exhibited that the proposed hybrid algorithm is much superior then the conventional ANN. � 2016 IEEE. Final 2023-05-29T06:38:14Z 2023-05-29T06:38:14Z 2017 Conference Paper 10.1109/PECON.2016.7951467 2-s2.0-85024392000 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024392000&doi=10.1109%2fPECON.2016.7951467&partnerID=40&md5=3d5b121abf688f88105a76326c32de1e https://irepository.uniten.edu.my/handle/123456789/23182 7951467 28 31 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Hydroelectric power; Hydroelectric power plants; Neural networks; Bat algorithms; Bio-inspired algorithms; Electricity production; Forecasting electricity; Hybrid Meta-heuristic; Hydropower; Renewable energies; Water consumption; Electric power generation
author2 57194948280
author_facet 57194948280
Hussin S.N.H.S.
Malek M.A.
Jaddi N.S.
Hamid Z.A.
format Conference Paper
author Hussin S.N.H.S.
Malek M.A.
Jaddi N.S.
Hamid Z.A.
spellingShingle Hussin S.N.H.S.
Malek M.A.
Jaddi N.S.
Hamid Z.A.
Hybrid metaheuristic of artificial neural network - Bat algorithm in forecasting electricity production and water consumption at Sultan Azlan shah Hydropower plant
author_sort Hussin S.N.H.S.
title Hybrid metaheuristic of artificial neural network - Bat algorithm in forecasting electricity production and water consumption at Sultan Azlan shah Hydropower plant
title_short Hybrid metaheuristic of artificial neural network - Bat algorithm in forecasting electricity production and water consumption at Sultan Azlan shah Hydropower plant
title_full Hybrid metaheuristic of artificial neural network - Bat algorithm in forecasting electricity production and water consumption at Sultan Azlan shah Hydropower plant
title_fullStr Hybrid metaheuristic of artificial neural network - Bat algorithm in forecasting electricity production and water consumption at Sultan Azlan shah Hydropower plant
title_full_unstemmed Hybrid metaheuristic of artificial neural network - Bat algorithm in forecasting electricity production and water consumption at Sultan Azlan shah Hydropower plant
title_sort hybrid metaheuristic of artificial neural network - bat algorithm in forecasting electricity production and water consumption at sultan azlan shah hydropower plant
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806428429830062080
score 13.214268

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