Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	April 2015
Genre:	Naturwissensch., Medizin, Technik
	B / Computer modelling & simulation / computer science / Computer simulation / ENERGY / Energy and state / Energy Grids and Networks / Energy industries & utilities / Energy Policy / Energy Policy, Economics and Management / energy systems / Energy technology & engineering / Simulation and Modeling mehr...
ISBN:	9781447159308
EAN-Code:	9781447159308
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#10 - Lecture Notes in Energy
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	3168 gr
Seiten:	189
Illustration:	XIII, 189 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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 methods to provide more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools.