Verfügbarkeit: Intelligent Energy Demand Forecasting

Intelligent Energy Demand Forecasting:

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Hong, Wei-Chiang (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	London Springer 2013
Schriftenreihe:	Lecture Notes in Energy 10
Schlagworte:	Computer simulation Electric engineering Engineering economy Energy Computersimulation Prognose Elektrizitätsversorgung Nachfrage
Online-Zugang:	BTU01 FAN01 FAW01 FFW01 FHI01 FHN01 FKE01 TUM01 UBT01 UBY01 Volltext Inhaltsverzeichnis Abstract
Beschreibung:	Online-Ressource (XIII, 189 p. 70 illus, digital)
ISBN:	9781447149682
DOI:	10.1007/978-1-4471-4968-2

Internformat

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Datensatz im Suchindex

_version_	1804150427291222016
adam_text	INTELLIGENT ENERGY DEMAND FORECASTING / HONG, WEI-CHIANG : 2013 TABLE OF CONTENTS / INHALTSVERZEICHNIS 1.INTRODUCTION 2.MODELING FOR ENERGY DEMAND FORECASTING 3.EVOLUTIONARY ALGORITHMS IN SVR’S PARAMETERS DETERMINATION 4.CHAOS/CLOUD THEORIES TO AVOID TRAPPING INTO LOCAL OPTIMUM 5.RECURRENT/SEASONAL MECHANISM TO IMPROVE THE ACCURATE LEVEL OF FORECASTING DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. INTELLIGENT ENERGY DEMAND FORECASTING / HONG, WEI-CHIANG : 2013 ABSTRACT / INHALTSTEXT AS INDUSTRIAL, COMMERCIAL, AND RESIDENTIAL DEMANDS INCREASE AND WITH THE RISE OF PRIVATIZATION AND DEREGULATION OF THE ELECTRIC ENERGY INDUSTRY AROUND THE WORLD, IT IS NECESSARY TO IMPROVE THE PERFORMANCE OF ELECTRIC OPERATIONAL MANAGEMENT. INTELLIGENT ENERGY DEMAND FORECASTING OFFERS APPROACHES AND METHODS TO CALCULATE OPTIMAL ELECTRIC ENERGY ALLOCATION TO REACH EQUILIBRIUM OF THE SUPPLY AND DEMAND. EVOLUTIONARY ALGORITHMS AND INTELLIGENT ANALYTICAL TOOLS TO IMPROVE ENERGY DEMAND FORECASTING ACCURACY ARE EXPLORED AND EXPLAINED IN RELATION TO EXISTING METHODS. TO PROVIDE CLEARER PICTURE OF HOW THESE HYBRIDIZED EVOLUTIONARY ALGORITHMS AND INTELLIGENT ANALYTICAL TOOLS ARE PROCESSED, INTELLIGENT ENERGY DEMAND FORECASTING EMPHASIZES ON IMPROVING THE DRAWBACKS OF EXISTING ALGORITHMS. WRITTEN FOR RESEARCHERS, POSTGRADUATES, AND LECTURERS, INTELLIGENT ENERGY DEMAND FORECASTING HELPS TO DEVELOP THE SKILLS AND METHODSTO PROVIDE MORE ACCURATE ENERGY DEMAND FORECASTING BY EMPLOYING NOVEL HYBRIDIZED EVOLUTIONARY ALGORITHMS AND INTELLIGENT ANALYTICAL TOOLS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
any_adam_object	1
author	Hong, Wei-Chiang
author_facet	Hong, Wei-Chiang
author_role	aut
author_sort	Hong, Wei-Chiang
author_variant	w c h wch
building	Verbundindex
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discipline	Elektrotechnik Wirtschaftswissenschaften
doi_str_mv	10.1007/978-1-4471-4968-2
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spelling	Hong, Wei-Chiang Verfasser aut Intelligent Energy Demand Forecasting by Wei-Chiang Hong London Springer 2013 Online-Ressource (XIII, 189 p. 70 illus, digital) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Energy 10 SpringerLink : Bücher Computer simulation Electric engineering Engineering economy Energy Computersimulation (DE-588)4148259-1 gnd rswk-swf Prognose (DE-588)4047390-9 gnd rswk-swf Elektrizitätsversorgung (DE-588)4014224-3 gnd rswk-swf Nachfrage (DE-588)4041036-5 gnd rswk-swf Elektrizitätsversorgung (DE-588)4014224-3 s Nachfrage (DE-588)4041036-5 s Prognose (DE-588)4047390-9 s Computersimulation (DE-588)4148259-1 s DE-604 Lecture Notes in Energy 10 (DE-604)BV040667788 10 https://doi.org/10.1007/978-1-4471-4968-2 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026039520&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026039520&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract
spellingShingle	Hong, Wei-Chiang Intelligent Energy Demand Forecasting Lecture Notes in Energy Computer simulation Electric engineering Engineering economy Energy Computersimulation (DE-588)4148259-1 gnd Prognose (DE-588)4047390-9 gnd Elektrizitätsversorgung (DE-588)4014224-3 gnd Nachfrage (DE-588)4041036-5 gnd
subject_GND	(DE-588)4148259-1 (DE-588)4047390-9 (DE-588)4014224-3 (DE-588)4041036-5
title	Intelligent Energy Demand Forecasting
title_auth	Intelligent Energy Demand Forecasting
title_exact_search	Intelligent Energy Demand Forecasting
title_full	Intelligent Energy Demand Forecasting by Wei-Chiang Hong
title_fullStr	Intelligent Energy Demand Forecasting by Wei-Chiang Hong
title_full_unstemmed	Intelligent Energy Demand Forecasting by Wei-Chiang Hong
title_short	Intelligent Energy Demand Forecasting
title_sort	intelligent energy demand forecasting
topic	Computer simulation Electric engineering Engineering economy Energy Computersimulation (DE-588)4148259-1 gnd Prognose (DE-588)4047390-9 gnd Elektrizitätsversorgung (DE-588)4014224-3 gnd Nachfrage (DE-588)4041036-5 gnd
topic_facet	Computer simulation Electric engineering Engineering economy Energy Computersimulation Prognose Elektrizitätsversorgung Nachfrage
url	https://doi.org/10.1007/978-1-4471-4968-2 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026039520&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026039520&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV040667788
work_keys_str_mv	AT hongweichiang intelligentenergydemandforecasting

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