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Short-Term Load Forecasting by Artificial Intelligent Technologies
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Energies2018,11, 1948 Funding:This researchwasfundedbytheMinistryofScienceandTechnology,R.O.C., inTaiwanunderGrands MOST105-2622-E-002-029 -CC3,MOST106-2622-E-002-028 -CC3,andMOST106-2221-E-002-165-. This research wasalso supported inpartby theMinistryofScienceandTechnologyofTaiwan (MOST107-2634-F-002-018), NationalTaiwanUniversity,Center forArtificial Intelligence&AdvancedRobotics. Theauthorswouldlike to thankM-FieldTM for theircollaborationandtechnical supports. Acknowledgments: Thisworkwasfinancially supported inpart by theMinistry of Science andTechnology, R.O.C., in Taiwan under Grands MOST 104-2622-E-002-023 -CC3, MOST 104-2221-E-002-086-, and MOST 105-2622-E-002-029 -CC3. The authors would like to thank M-FieldTM for their collaboration and technical supports. Conflictsof Interest:Theauthorsdeclarenoconflictof interest. References 1. Maleki,A.;Askarzadeh,A.OptimalsizingofaPV/wind/dieselsystemwithbatterystorageforelectrification toanoff-gridremoteregion:AcasestudyofRafsanjan, Iran.Sustain. EnergyTechnol. Assess. 2014,7, 147–153. [CrossRef] 2. Devrim,Y.;Bilir,L.Performance investigationofawindturbine–solarphotovoltaicpanels–fuelcellhybrid systeminstalledat I˙ncekregion–Ankara,Turkey.EnergyConvers.Manag. 2016,126, 759–766. [CrossRef] 3. Martinez-Lucas,G.;Sarasua, J.I.; Sanchez-Fernandez, J.A.FrequencyRegulationofaHybridWind-Hydro PowerPlant inanIsolatedPowerSystem.Energies2018,11, 239. [CrossRef] 4. Wang,F.C.;Chen,H.C.Thedevelopmentandoptimizationof customizedhybridpower systems. Int. J. HydrogenEnergy2016,41, 12261–12272. [CrossRef] 5. Bonfiglio,A.;Delfino,F.; Invernizzi,M.;Procopio,R.ModelingandMaximumPowerPointTrackingControl ofWindGeneratingUnitsEquippedwithPermanentMagnetSynchronousGenerators inPresenceofLosses. Energies2017,10, 102. [CrossRef] 6. Pedra, J.;Corcoles,F.;Monjo,L.;Bogarra,S.;Rolan,A.OnFixed-SpeedWTGeneratorModelingforRotor SpeedStabilityStudies. IEEETrans. PowerSyst. 2012,27, 397–406. [CrossRef] 7. Lee, J.;Park, J.; Jung,H.J.;Park, J.RenewableEnergyPotentialbytheApplicationofaBuildingIntegrated PhotovoltaicandWindTurbineSysteminGlobalUrbanAreas.Energies2017,10, 2158. [CrossRef] 8. Maouedja, R.; Mammeri, A.; Draou, M.D.; Benyoucef, B. Performance evaluation of hybrid Photovoltaic-Windpowersystems.EnergyProcedia2014,50, 797–807. [CrossRef] 9. AlGhaithi,H.M.;Fotis,G.P.;Vita,V.Techno-economicassessmentofhybridenergyoff-gridsystem—Acase studyforMasirah islandinOman. Int. J.PowerEnergyRes. 2017,1, 103–116. [CrossRef] 10. Chen, P.J.; Wang, F.C. Design optimization for the hybrid power system of a green building. Int. J. HydrogenEnergy2018,43, 2381–2393. [CrossRef] 11. Chennouf,N.; Settou,N.; Negrou, B.; Bouziane,K.; Dokkar, B. Experimental Studyof SolarHydrogen ProductionPerformancebyWaterElectrolysis in theSouthofAlgeria.EnergyProcedia2012,18, 1280–1288. [CrossRef] 12. Tribioli,L.;Cozzolino,R.;Evangelisti,L.;Bella,G.Energymanagementofanoff-gridhybridpowerplant withmultipleenergystoragesystems.Energies2016,9, 661. [CrossRef] 13. Cozzolino,R.;Tribioli,L.;Bella,G.Powermanagementofahybridrenewablesystemforartificial islands: Acasestudy.Energy2016,106, 774–789. [CrossRef] 14. Aouali,F.Z.;Becherif,M.;Tabanjat,A.;Emziane,M.;Mohammedi,K.;Krehi,S.;Khellaf,A.Modellingandexperimental analysisofaPEMelectrolyserpoweredbyasolarphotovoltaicpanel.EnergyProcedia2014,62,714–722. [CrossRef] 15. Rahimi, S.; Meratizaman, M.; Monadizadeh, S.; Amidpour, M. Techno-economic analysis of wind turbine–pem (polymer electrolytemembrane) fuel cell hybrid system in standalone area. Energy 2014, 67, 381–396. [CrossRef] 16. Bianchi,M.;Branchini,L.;DePascale,A.;Melino,F.Storagesolutionsforrenewableproductioninhousehold sector.EnergyProcedia2014,61, 242–245. [CrossRef] 17. Bocklisch, T.; Böttiger, M.; Paulitschke, M. Multi-storage hybrid system approach and experimental investigations.EnergyProcedia2014,46, 186–193. [CrossRef] 18. Ikhsan,M.;Purwadi,A.;Hariyanto,N.;Heryana,N.;Haroen,Y.Studyofrenewableenergysourcescapacityand loadingusingdata logger forsizingofsolar-windhybridpowersystem.ProcediaTechnol.2013,11, 1048–1053. [CrossRef] 209
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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
Informatik
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Short-Term Load Forecasting by Artificial Intelligent Technologies