Publication:
Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms

Simple item page
dc.citedby10
dc.contributor.authorChong K.L.en_US
dc.contributor.authorLai S.H.en_US
dc.contributor.authorAhmed A.N.en_US
dc.contributor.authorZaafar W.Z.W.en_US
dc.contributor.authorRao R.V.en_US
dc.contributor.authorSherif M.en_US
dc.contributor.authorSefelnasr A.en_US
dc.contributor.authorEl-Shafie A.en_US
dc.contributor.authorid57208482172en_US
dc.contributor.authorid36102664300en_US
dc.contributor.authorid57214837520en_US
dc.contributor.authorid57224063368en_US
dc.contributor.authorid57196086213en_US
dc.contributor.authorid7005414714en_US
dc.contributor.authorid6505592467en_US
dc.contributor.authorid16068189400en_US
dc.date.accessioned2023-05-29T09:11:40Z
dc.date.available2023-05-29T09:11:40Z
dc.date.issued2021
dc.descriptionBiomimetics; Computational efficiency; Dams; Electric load dispatching; Heuristic algorithms; Heuristic methods; Hydroelectric power; Hydroelectric power plants; Irrigation; Mathematical programming; Scheduling; Structural design; Water distribution systems; Water resources; Water supply; Application problems; Hydro-power generation; Meta heuristic algorithm; Non-differentiability; Problem formulation; Reservoir optimal operation; Reservoir optimizations; Scientific discipline; Reservoirs (water)en_US
dc.description.abstractIn engineering and scientific disciplines, there are extensive Optimization Application Problems (OAPs) such as economic dispatch, structural design, and water resources. One of the major OAPs is the operation of dams and reservoirs to minimize the gap between water supply for irrigation and demand patterns such as hydropower generation. Drawing optimal operation for dams and reservoirs is often categorized as discontinuity, multimodality, non-differentiability and non-convexity. Classical mathematical programming-based methods for optimization might be inappropriate or unrealizable in drawing optimal operation rules for dam and reservoir operation. During the last two decades, new optimization methods-based on nature-inspired meta-heuristic algorithms (MHAs) have motivated hydrologists to investigate MHAs as better alternative optimization tools for identifying the optimal dam and reservoir operation rules. To solve the dam and reservoir-optimization applications better, this review presents the past, present, and prospective research directions using MHAs. The problem of dam and reservoir optimization requires a fundamental shift of focus towards enhancing not only the problem formulation and decomposition but also the computational efficiency of MHAs. � 2013 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9335575
dc.identifier.doi10.1109/ACCESS.2021.3054424
dc.identifier.epage19505
dc.identifier.scopus2-s2.0-85106820701
dc.identifier.spage19488
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85106820701&doi=10.1109%2fACCESS.2021.3054424&partnerID=40&md5=1ac5c34f11713693f3795cf94e8050cc
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26534
dc.identifier.volume9
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.titleReview on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithmsen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS