Intelligent Energy Demand Forecasting:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London
Springer
2013
|
| Series: | Lecture Notes in Energy
10 |
| Subjects: | |
| Online Access: | BTU01 FAN01 FAW01 FFW01 FHI01 FHN01 FKE01 TUM01 UBT01 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Physical Description: | Online-Ressource (XIII, 189 p. 70 illus, digital) |
| ISBN: | 9781447149682 |
| DOI: | 10.1007/978-1-4471-4968-2 |
Staff View
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Record in the Search Index
| _version_ | 1804150427291222016 |
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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.
|
| any_adam_object | 1 |
| author | Hong, Wei-Chiang |
| author_facet | Hong, Wei-Chiang |
| author_role | aut |
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| callnumber-first | H - Social Science |
| callnumber-label | HD9502-9502 |
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| callnumber-search | HD9502-9502.5 |
| callnumber-sort | HD 49502 49502.5 |
| callnumber-subject | HD - Industries, Land Use, Labor |
| classification_tum | ELT 000 |
| collection | ZDB-2-ENE |
| ctrlnum | (OCoLC)843456331 (DE-599)BSZ381117324 |
| dewey-full | 333.79 338.926 |
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| dewey-ones | 333 - Economics of land and energy 338 - Production |
| dewey-raw | 333.79 338.926 |
| dewey-search | 333.79 338.926 |
| dewey-sort | 3333.79 |
| dewey-tens | 330 - Economics |
| discipline | Elektrotechnik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-1-4471-4968-2 |
| format | Electronic eBook |
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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 |
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