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Bibliographic Details
Main Author:	Hong, Wei-Chiang (Author)
Format:	Electronic eBook
Language:	English
Published:	London Springer 2013
Series:	Lecture Notes in Energy 10
Subjects:	Computer simulation Electric engineering Engineering economy Energy Computersimulation Prognose Elektrizitätsversorgung Nachfrage
Links:	https://doi.org/10.1007/978-1-4471-4968-2 https://doi.org/10.1007/978-1-4471-4968-2 https://doi.org/10.1007/978-1-4471-4968-2 https://doi.org/10.1007/978-1-4471-4968-2 https://doi.org/10.1007/978-1-4471-4968-2 https://doi.org/10.1007/978-1-4471-4968-2 https://doi.org/10.1007/978-1-4471-4968-2 https://doi.org/10.1007/978-1-4471-4968-2 https://doi.org/10.1007/978-1-4471-4968-2 https://doi.org/10.1007/978-1-4471-4968-2 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
Physical Description:	Online-Ressource (XIII, 189 p. 70 illus, digital)
ISBN:	9781447149682
DOI:	10.1007/978-1-4471-4968-2

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Record in the Search Index

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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.
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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
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volume_link	(DE-604)BV040667788
work_keys_str_mv	AT hongweichiang intelligentenergydemandforecasting

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