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010 a| 2021058070;

020 a| 9780367754341q| (hbk);

020 a| 9781032268835q| (pbk);

020 z| 9781003290346q| (ebk);

035 a| (WaSeSS)ssj0002593050;

042 a| pcc;

049 a| EREEa| NEHH;

050 00 a| TK3105b| .A78 2022;

082 00 a| 621.312| 23/eng/20220110;

245 00 a| Artificial intelligence-based energy management systems for smart micro gridsh| [electronic resource] /c| edited by Baseem Khan, Sanjeevikumar Padmanaban, Hassan Haes Alhelou, Om Prakash Mahela, and S. Rajkumar.;

250 a| Seventh edition.;

260 a| Boca Raton, FL :b| CRC Press,c| 2022.;

263 a| 2204;

300 a| pages cm;

504 a| Includes bibliographical references and index.;

505 2 a| Flexibility of microgrids with energy management systems / Hooman Firoozi, Hosna Khajeh and Hannu Laaksonen -- Hybrid particle swarm optimization - artificial neural network algorithm for energy management / Kranthi Kumar, Altaf Q. H. Badar, Sanjeevikumar Padmanabhan -- Community microgrid energy scheduling based on Grey Wolf Optimization algorithm / Md Shafiullah, Md Ershadul Haque, Shorab Hossain, Md. Sanower Hossain, Md Juel Rana.;

506 a| Available only to authorized users.;

520 a| "Modeling and optimization of energy management systems for micro and mini-grids play an important role in the fields of energy generation dispatch, and peak demand confliction with grid security. This comprehensive reference text provides an in-depth insight into these topics. The text discusses the use of metaheuristic and artificial intelligent (AI) algorithms for developing energy management systems with energy usage prediction for mini and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, blockchain-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems. The text will be useful for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Microgrids (Smart power grids)=| ^A1345518;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Khan, Baseem,d| 1987-?| UNAUTHORIZED;

700 1 a| Sanjeevikumar, Padmanaban,d| 1978-?| UNAUTHORIZED;

700 1 a| Alhelou, Hassan Haes,d| 1988-?| UNAUTHORIZED;

700 1 a| Mahela, Om Prakash,d| 1977-?| UNAUTHORIZED;

700 1 a| Rajkumar, S.?| UNAUTHORIZED;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003290346;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

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998 a| 6656953;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6656953-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 12/18/2025x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6656953-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 12/18/2025x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6656953-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/18/2025x| EBOOKz| JERESOURCE;

Artificial intelligence-based energy management systems for smart micro grids / edited by Baseem Khan, Sanjeevikumar Padmanaban, Hassan Haes Alhelou, Om Prakash Mahela, and S. Rajkumar.

Format	Electronic
Edition	Seventh edition.
Publication Info	Boca Raton, FL : CRC Press, 2022.
Description	pages cm
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Microgrids (Smart power grids)

Other author/creator	Khan, Baseem, 1987-
Other author/creator	Sanjeevikumar, Padmanaban, 1978-
Other author/creator	Alhelou, Hassan Haes, 1988-
Other author/creator	Mahela, Om Prakash, 1977-
Other author/creator	Rajkumar, S.
Partial contents	Flexibility of microgrids with energy management systems / Hooman Firoozi, Hosna Khajeh and Hannu Laaksonen -- Hybrid particle swarm optimization - artificial neural network algorithm for energy management / Kranthi Kumar, Altaf Q. H. Badar, Sanjeevikumar Padmanabhan -- Community microgrid energy scheduling based on Grey Wolf Optimization algorithm / Md Shafiullah, Md Ershadul Haque, Shorab Hossain, Md. Sanower Hossain, Md Juel Rana.
Abstract	"Modeling and optimization of energy management systems for micro and mini-grids play an important role in the fields of energy generation dispatch, and peak demand confliction with grid security. This comprehensive reference text provides an in-depth insight into these topics. The text discusses the use of metaheuristic and artificial intelligent (AI) algorithms for developing energy management systems with energy usage prediction for mini and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, blockchain-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems. The text will be useful for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2021058070
ISBN	9780367754341 (hbk)
ISBN	9781032268835 (pbk)
ISBN	(ebk)

Artificial intelligence-based energy management systems for smart micro grids / edited by Baseem Khan, Sanjeevikumar Padmanaban, Hassan Haes Alhelou, Om Prakash Mahela, and S. Rajkumar.

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