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Intelligent Energy Management Technologies = ICAEM 2019 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent Energy Management Technologies/ edited by Mohammad Shorif Uddin, Avdhesh Sharma, Kusum Lata Agarwal, Mukesh Saraswat.
其他題名:	ICAEM 2019 /
其他作者:	Saraswat, Mukesh.
面頁冊數:	XII, 470 p. 326 illus., 249 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational Intelligence. -
電子資源:	https://doi.org/10.1007/978-981-15-8820-4
ISBN:	9789811588204

Intelligent Energy Management Technologies = ICAEM 2019 /
Intelligent Energy Management TechnologiesICAEM 2019 /[electronic resource] :edited by Mohammad Shorif Uddin, Avdhesh Sharma, Kusum Lata Agarwal, Mukesh Saraswat. - 1st ed. 2021. - XII, 470 p. 326 illus., 249 illus. in color.online resource. - Algorithms for Intelligent Systems,2524-7573. - Algorithms for Intelligent Systems,.

Solar PV Based Electric Vehicle Charging System with Power Backup -- A Survey of Energy Theft Detection Approaches in Smart Meters -- Renewable Energy Conversion: Sustainable Energy Development and Efficiency Enhancement of Solar Panels: A review -- Evaluation of Thermal Degradation Behavior of Cardboard Waste -- Wavelength Optimization in Gigabit Passive Optical Network by Proposed Quad Play Architecture -- A Priority Based Deficit Weighted Round Robin Queuing for Dynamic Bandwidth Allocation Algorithm in Gigabit Passive Optical Network.

This book is a collection of best selected high-quality research papers presented at the International Conference on Advances in Energy Management (ICAEM 2019) organized by the Department of Electrical Engineering, Jodhpur Institute of Engineering & Technology (JIET), Jodhpur, India, during 20–21 December 2019. The book discusses intelligent energy management technologies which are cost effective compared to the high cost of fossil fuels. This book also explains why these systems have beneficial impact on environmental, economic and political issues of the world. The book is immensely useful for research scholars, academicians, R&D institutions, practicing engineers and managers from industry.

ISBN: 9789811588204

Standard No.: 10.1007/978-981-15-8820-4doiSubjects--Topical Terms:

768837
Computational Intelligence.

LC Class. No.: TK7881.15

Dewey Class. No.: 621.317

Intelligent Energy Management Technologies = ICAEM 2019 /
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