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Energies2018,11, 1282 15. Huang, G.B.; Zhou, H.; Ding, X.; Zhang, R. Extreme learningmachine for regression andmulticlass classification. IEEETrans. Syst.ManCybern. PartB2012,42, 513–529. [CrossRef] [PubMed] 16. Yang,X.S.;HosseinGandomi,A.Bat algorithm: Anovel approach for global engineeringoptimization. Eng.Comput. 2012,29, 267–289. [CrossRef] 17. Zhang, J.W.;Wang,G.G. ImageMatchingUsingaBatAlgorithmwithMutation.Appl.Mech.Mater. 2012, 203, 88–93. [CrossRef] 18. Mishra,S.; Shaw,K.;Mishra,D.ANewMeta-heuristicBat InspiredClassificationApproachforMicroarray Data.ProcediaTechnol. 2012,4, 802–806. [CrossRef] 19. Nakamura,R.Y.;Pereira,L.A.;Costa,K.A.;Rodrigues,D.;Papa, J.P.;Yang,X.S.BBA:ABinaryBatAlgorithm forFeatureSelection. InProceedingsof the25thSIBGRAPIConferenceonGraphics,PatternsandImages, OuroPreto,Brazil, 22–25August2012;pp.291–297. 20. Niu, D.; Dai, S. A Short-TermLoad ForecastingModelwith aModified Particle SwarmOptimization AlgorithmandLeastSquaresSupportVectorMachineBasedontheDenoisingMethodofEmpiricalMode DecompositionandGreyRelationalAnalysis.Energies2017,10, 408. [CrossRef] 21. Liang,Y.;Niu,D.;Ye,M.;Hong,W.C.Short-TermLoadForecastingBasedonWaveletTransformandLeast SquaresSupportVectorMachineOptimizedbyImprovedCuckooSearch.Energies2016,9, 827. [CrossRef] 22. Sun,W.; Liang, Y. Least-Squares Support VectorMachine Based on Improved Imperialist Competitive AlgorithminaShort-TermLoadForecastingModel. J.EnergyEng. 2014,141, 04014037. [CrossRef] 23. Hooshmand,R.A.;Amooshahi,H.;Parastegari,M.Ahybrid intelligentalgorithmbasedshort-termload forecastingapproach. Int. J.Electr. PowerEnergySyst. 2013,45, 313–324. [CrossRef] 24. Bahrami,S.;Hooshmand,R.A.;Parastegari,M.Short termelectric loadforecastingbywavelet transformand greymodel improvedbyPSO(particle swarmoptimization)algorithm.Energy2014,72, 434–442. [CrossRef] 25. Yeom,C.U.; Kwak,K.C. Short-TermElectricity-LoadForecastingUsing aTSK-BasedExtremeLearning MachinewithKnowledgeRepresentation.Energies2017,10, 1613. [CrossRef] 26. Yang,X.S.ANewMetaheuristicBat-InspiredAlgorithm.Comput. Knowl. Technol. 2010,284, 65–74. 27. Deng,W.Y.;Zheng,Q.H.;Chen,L.;Xu,X.B.Studyonfast learningmethodofneuralnetwork.Chin. J.Comput. 2010,33, 279–287. [CrossRef] ©2018bytheauthors. LicenseeMDPI,Basel,Switzerland. Thisarticle isanopenaccess articledistributedunder the termsandconditionsof theCreativeCommonsAttribution (CCBY) license (http://creativecommons.org/licenses/by/4.0/). 353
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Short-Term Load Forecasting by Artificial Intelligent Technologies
Title
Short-Term Load Forecasting by Artificial Intelligent Technologies
Authors
Wei-Chiang Hong
Ming-Wei Li
Guo-Feng Fan
Editor
MDPI
Location
Basel
Date
2019
Language
English
License
CC BY 4.0
ISBN
978-3-03897-583-0
Size
17.0 x 24.4 cm
Pages
448
Keywords
Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
Category
Informatik
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Short-Term Load Forecasting by Artificial Intelligent Technologies