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Energies2018,11, 1561 48. Torres, M.E.; Colominas, M.A.; Schlotthauer, G.; Flandrin, P. A complete ensemble empirical mode decompositionwithadaptivenoise. InProceedingsof the2011 IEEEInternationalConferenceonAcoustics, SpeechandSignalProcessing,Prague,CzechRepublic,22–27May2011;Volume7,pp.4144–4147. [CrossRef] 49. Elman, J.L.Findingstructure in time.Cogn. Sci. 1990,14, 179–211. [CrossRef] 50. Quan,H.;Srinivasan,D.;Khosravi,A.Uncertaintyhandlingusingneuralnetwork-basedpredictionintervals forelectrical loadforecasting.Energy2014,73, 916–925. [CrossRef] 51. CoelloCoello,C.A.Evolutionarymulti-objectiveoptimization: Somecurrent research trendsandtopics that remaintobeexplored.Front. Comput. Sci. China2009,3, 18–30. [CrossRef] 52. Branke, J.;Kaußler,T.; Schmeck,H.Guidance inevolutionarymulti-objectiveoptimization.Adv. Eng. Softw. 2001,32, 499–507. [CrossRef] 53. Deb, K. Advances in EvolutionaryMulti-objectiveOptimization. In Search Based Software Engineering; Springer: Berlin/Heidelberg,Germany,2012;pp.1–26. ISBN978-3-642-33119-0. 54. Mirjalili, S.; Gandomi,A.H.; Mirjalili, S.Z.; Saremi, S.; Faris,H.; Mirjalili, S.M. Salp SwarmAlgorithm: Abio-inspiredoptimizer forengineeringdesignproblems.Adv. Eng. Softw. 2017,114, 163–191. [CrossRef] 55. Wang, J.;Niu,T.;Lu,H.;Guo,Z.;Yang,W.;Du,P.Ananalysis-forecast systemforuncertaintymodelingof windspeed:Acasestudyof large-scalewindfarms.Appl. Energy2018,211, 492–512. [CrossRef] 56. Eckmann, J.-P.;Kamphorst, S.O.;Ruelle,D.RecurrencePlotsofDynamicalSystems.Europhys. Lett. 1987, 4, 973–977. [CrossRef] 57. Marwan,N.;Wessel,N.;Meyerfeldt,U.; Schirdewan,A.; Kurths, J. Recurrence-plot-basedmeasures of complexityandtheirapplicationtoheart-rate-variabilitydata.Phys. Rev. EStat. Phys. PlasmasFluidsRelat. Interdiscip. Top. 2002,66. [CrossRef] [PubMed] 58. Shu,F.;Luonan,C.Short-termloadforecastingbasedonanadaptivehybridmethod. IEEETrans. PowerSyst. 2006,21, 392–401. Β©2018bytheauthors. LicenseeMDPI,Basel,Switzerland. Thisarticle isanopenaccess articledistributedunder the termsandconditionsof theCreativeCommonsAttribution (CCBY) license (http://creativecommons.org/licenses/by/4.0/). 317
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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