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Energies2018,11, 1900 26. Papadopoulos,C.E.;Yeung,H.UncertaintyestimationandMonteCarlosimulationmethod.FlowMeas. Instrum. 2002,12, 291–298. [CrossRef] 27. Selakov,A.;CvijetinovicĀ“,D.;MilovicĀ“,L.HybridPSO-SVMmethodforshort-termloadforecastingduring periodswith significant temperature variations in city of Burbank. Appl. Soft Comput. 2014, 16, 80–88. [CrossRef] 28. Fu,Y.;Li,Z.;Zhang,H.UsingSupportvectormachinetopredictnext-dayelectricity loadofpublicbuildings withsub-meteringdevices.ProcediaEng. 2015,121, 1016–1022. [CrossRef] 29. Ebtehaj, I.;Bonakdari,H.;Shamshirband,S.Acombinedsupportvectormachine-wavelet transformmodel forpredictionofsediment transport insewer.FlowMeas. Instrum. 2016,47, 19–27. [CrossRef] 30. Saltelli,A.;Tarantola,S.;Campolongo,F.;Ratto,M.SensitivityAnalysis inPractice. J.Am. Stat. Assoc. 1989, 101, 398–399. 31. Saltelli,A.;Chan,K.;Scott,E.M.SensitivityAnalysis:GaugingtheWorthofScientificModels; JohnWileyand Sons:Chichester,UK,2000. 32. Morris,M.D.Factorial samplingplans forpreliminarycomputationalexperiments.Technometrics1991,33, 161–174. [CrossRef] 33. Tayman, J.; Swanson,D.A.OnthevalidityofMAPEasameasureofpopulationforecastaccuracy.Popul. Res. PolicyRev. 1999,18, 299–322. [CrossRef] 34. Zhao, J.; Liu,X.J.Ahybridmethodofdynamic coolingandheating load forecasting forofficebuildings basedonartificial intelligenceandregressionanalysis.EnergyBuild. 2018. [CrossRef] 35. Iman,W.;Mohd,W.;Royapoor,M.;Wang,Y.;Roskilly,A.P.Officebuildingcooling loadreductionusing thermalanalysismethod-Acasestudy.Appl. Energy2017,185, 1574–1584. Ā©2018bytheauthors. LicenseeMDPI,Basel,Switzerland. Thisarticle isanopenaccess articledistributedunder the termsandconditionsof theCreativeCommonsAttribution (CCBY) license (http://creativecommons.org/licenses/by/4.0/). 228
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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