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Short-Term Load Forecasting by Artificial Intelligent Technologies
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Energies2018,11, 1138 29. Gensler,A.;Henze, J.; Sick,B.;Raabe,N.DeepLearningforsolarpower forecasting—Anapproachusing AutoEncoderandLSTMNeuralNetworks. InProceedingsof the InternationalConferenceonSystems,Man, andCybernetics,Budapest,Hungary,9–12October2016;pp. 2858–2865. 30. Zheng, J.;Xu,C.;Zhang,Z.;Li,X.Electric loadforecasting insmartgridsusing long-short-term-memory basedrecurrentneuralnetwork. InProceedingsof the51stAnnualConferenceonInformationSciencesand Systems,Baltimore,MD,USA,22–24March2017;pp. 1–6. 31. Kong,W.;Dong,Z.Y.; Jia,Y.;Hill,D.J.;Xu,Y.;Zhang,Y.Short-termresidential load forecastingbasedon LSTMrecurrentneuralnetwork. IEEETrans. SmartGrid2017, 1–11. [CrossRef] 32. Cho,K.;VanMerrienboer,B.;Gulcehre,C.;Bahdanau,D.;Bougares,F.;Schwenk,H.;Bengio,Y.Learningphrase representationsusingRNNencoder-decoderforstatisticalmachinetranslation.arXiv2014, arXiv:1406.1078. 33. Chung, J.;Gulcehre,C.; Cho,K.; Bengio,Y.Empirical evaluationofgated recurrentneuralnetworkson sequencemodeling. arXiv2014, arXiv:1412.3555. 34. Lu,K.; Zhao, Y.;Wang,X.; Cheng,Y.; Pang,X.; Sun,W.; Jiang, Z.; Zhang,Y.; Xu,N.; Zhao, X. Short-term electricity loadforecastingmethodbasedonmultilayeredself-normalizingGRUnetwork. InProceedingsof the ConferenceonEnergyInternetandEnergySystemIntegration,Beijing,China,26–28November2017;pp. 1–5. 35. Werbos,P.J.Backpropagationthroughtime:What itdoesandhowtodoit.Proc. IEEE1990,78, 1550–1560. [CrossRef] c©2018bytheauthors. LicenseeMDPI,Basel,Switzerland. Thisarticle isanopenaccess articledistributedunder the termsandconditionsof theCreativeCommonsAttribution (CCBY) license (http://creativecommons.org/licenses/by/4.0/). 390
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Short-Term Load Forecasting by Artificial Intelligent Technologies
Titel
Short-Term Load Forecasting by Artificial Intelligent Technologies
Autoren
Wei-Chiang Hong
Ming-Wei Li
Guo-Feng Fan
Herausgeber
MDPI
Ort
Basel
Datum
2019
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-03897-583-0
Abmessungen
17.0 x 24.4 cm
Seiten
448
Schlagwörter
Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
Kategorie
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Short-Term Load Forecasting by Artificial Intelligent Technologies