Artificial intelligence for smart and sustainable energy systems and applications / Miltiadis D. Lytras and Kwok Tai Chui, Editor
Call number: 006.3 L223A 2020 Material type:
BookPublisher: 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
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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General Books
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สำนักวิทยบริการ (Center) ชั้น 7 หนังสือทั่วไปภาษาอังกฤษ 000-900 | Non-fiction | 006.3 L223A 2020 (Browse shelf(Opens below)) | 1 | Available | 3000030332 | |
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General Books
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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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