Web-Books
im Austria-Forum
Austria-Forum
Web-Books
Informatik
Short-Term Load Forecasting by Artificial Intelligent Technologies
Seite - 156 -
  • Benutzer
  • Version
    • Vollversion
    • Textversion
  • Sprache
    • Deutsch
    • English - Englisch

Seite - 156 - in Short-Term Load Forecasting by Artificial Intelligent Technologies

Bild der Seite - 156 -

Bild der Seite - 156 - in Short-Term Load Forecasting by Artificial Intelligent Technologies

Text der Seite - 156 -

Energies2018,11, 2080 6. Wang,P.;Liu,B.;Hong,T.Electric loadforecastingwithrecencyeffect:Abigdataapproach. Int. J.Forecast. 2016,32, 585–597. [CrossRef] 7. Hagan,M.T.;Behr,S.M.TheTimeSeriesApproachtoShortTermLoadForecasting. IEEETrans. PowerSyst. 1987,2, 785–791. [CrossRef] 8. Amjady,N. Short-termhourly load forecasting using time-seriesmodelingwith peak load estimation capability. IEEETrans. PowerSyst. 2001,16, 498–505. [CrossRef] 9. Amini,M.H.;Kargarian,A.;Karabasoglu,O.ARIMA-baseddecoupled timeseries forecastingofelectric vehiclechargingdemandforstochasticpowersystemoperation.Electr. PowerSyst. Res. 2016,140, 378–390. [CrossRef] 10. Boroojeni, K.G.; Amini, M.H.; Bahrami, S.; Iyengar, S.S.; Sarwat, A.I.; Karabasoglu, O. A novel multi-time-scalemodelingforelectricpowerdemandforecasting: Fromshort-termtomedium-termhorizon. Electr. PowerSyst. Res. 2017,142, 58–73. [CrossRef] 11. Taylor, J.W.Short-TermLoadForecastingwithExponentiallyWeightedMethods. IEEETrans. PowerSyst. 2012,27, 458–464. [CrossRef] 12. Mandal,P.;Senjyu,T.;Urasaki,N.;Funabashi,T.Aneuralnetworkbasedseveral-hour-aheadelectric load forecastingusingsimilardaysapproach. Int. J.Electr. PowerEnergySyst. 2006,28, 367–373. [CrossRef] 13. Zhang,Y.;Zhou,Q.; Sun,C.;Lei, S.;Liu,Y.; Song,Y.RBFNeuralNetworkandANFIS-BasedShort-Term LoadForecastingApproach inReal-TimePriceEnvironment. IEEETrans. PowerSyst. 2008, 23, 853–858. [CrossRef] 14. Kalaitzakis,K.;Stavrakakis,G.S.;Anagnostakis,E.M.Short-termloadforecastingbasedonartiïŹcialneural networksparallel implementation.Electr. PowerSyst. Res. 2002,63, 185–196. [CrossRef] 15. Liao,G.-C.;Tsao,T.-P.Applicationofa fuzzyneuralnetworkcombinedwithachaosgeneticalgorithmand simulatedannealingtoshort-termloadforecasting. IEEETrans. Evol. Comput. 2006,10, 330–340. [CrossRef] 16. LĂłpez,M.; Valero, S.; Senabre, C.; Aparicio, J.; Gabaldon, A. Application of SOMneural networks to short-termloadforecasting: TheSpanishelectricitymarketcasestudy.Electr. PowerSyst. Res. 2012,91, 18–27. [CrossRef] 17. Hinojosa,V.H.;Hoese,A.Short-TermLoadForecastingUsingFuzzyInductiveReasoningandEvolutionary Algorithms. IEEETrans. PowerSyst. 2010,25, 565–574. [CrossRef] 18. Srinivasan,D.;Chang,C.S.;Liew,A.C.Demandforecastingusingfuzzyneuralcomputation,withspecial emphasisonweekendandpublicholidayforecasting. IEEETrans. PowerSyst.1995,10,1897–1903. [CrossRef] 19. Kim,K.-H.;Youn,H.-S.;Kang,Y.-C.Short-termloadforecastingforspecialdaysinanomalousloadconditions usingneuralnetworksandfuzzy inferencemethod. IEEETrans. PowerSyst. 2000,15, 559–565. 20. Song,K.-B.;Baek,Y.-S.;Hong,D.H.; Jang,G.Short-termloadforecastingfor theholidaysusingfuzzy linear regressionmethod. IEEETrans. PowerSyst. 2005,20, 96–101. [CrossRef] 21. Chen,Y.;Yang,Y.;Liu,C.;Li,C.;Li,L.Ahybridapplicationalgorithmbasedonthesupportvectormachine andartiïŹcial intelligence:Anexampleofelectric loadforecasting.Appl.Math.Model. 2015,39, 2617–2632. [CrossRef] 22. Wang, J.; Jin, S.; Qin, S.; Jiang,H. Swarm Intelligence-based hybridmodels for short-termpower load prediction.Math. Probl. Eng. 2014,2014, 17. [CrossRef] 23. Bashir,Z.A.; El-Hawary,M.E.Applyingwavelets to short-term load forecastingusingpso-basedneural networks. IEEETrans. PowerSyst. 2009,24, 20–27. [CrossRef] 24. Amjady,N.;Keynia,F.Short-termloadforecastingofpowersystemsbycombinationofwavelet transform andneuro-evolutionaryalgorithm.Energy2009,34, 46–57. [CrossRef] 25. Ho,K.-L.;Hsu,Y.-Y.;Chen,C.-F.;Lee,T.-E.;Liang,C.-C.;Lai,T.-S.;Chen,K.-K.Short termloadforecastingof Taiwanpowersystemusingaknowledge-basedexpert system. IEEETrans. PowerSyst. 1990,5, 1214–1221. 26. Huang,C.-M.;Huang,C.-J.;Wang,M.-L.Aparticle swarmoptimizationto identifyingtheARMAXmodel forshort-termloadforecasting. IEEETrans. PowerSyst. 2005,20, 1126–1133. [CrossRef] 27. Niu, D.; Xing,M. Research on neural networks based on culture particle swarmoptimization and its application inpower load forecasting. InProceedingsof theThird InternationalConferenceonNatural Computation(ICNC2007),Haikou,China,24–27August2007;Volume1,pp.270–274. 28. Gajowniczek,K.;Za˛bkowski,T.Electricity forecastingonthe individualhousehold levelenhancedbasedon activitypatterns.PLoSONE2017,12, e0174098. [CrossRef] [PubMed] 156
zurĂŒck zum  Buch Short-Term Load Forecasting by Artificial Intelligent Technologies"
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
Informatik
Web-Books
Bibliothek
Datenschutz
Impressum
Austria-Forum
Austria-Forum
Web-Books
Short-Term Load Forecasting by Artificial Intelligent Technologies