Artificial intelligence for smart and sustainable energy systems and applications / Miltiadis D. Lytras and Kwok Tai Chui, Editor

By: Lytras, Miltiadis DContributor(s): Kwok,Tai ChuiCall number: 006.3 L223A 2020 Material type: BookBookPublisher: English : MDPI AG, 2020Description: 258 p. 25 cmISBN: 9783039288892 :Subject(s): Artificial intelligence | Computer visionDDC classification: 006.3 L223A 2020 Online resources: ดูปกและสารบัญ (see cover and contents) Summary: Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists--namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
General Books General Books สำนักวิทยบริการ (Center)
ชั้น 7 หนังสือทั่วไปภาษาอังกฤษ 000-900
Non-fiction 006.3 L223A 2020 (Browse shelf(Opens below)) 1 Available 3000030332
General Books General Books สำนักวิทยบริการ (Center)
ชั้น 7 หนังสือทั่วไปภาษาอังกฤษ 000-900
Non-fiction 006.3 L223A 2020 (Browse shelf(Opens below)) 2 Available 3000030333

Includes index.

Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists--namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities

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