Artificial intelligence and renewables towards an energy transition / Mustapha Hatti, editor.
2021
TJ808 .A78 2021eb
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Title
Artificial intelligence and renewables towards an energy transition / Mustapha Hatti, editor.
ISBN
9783030638467 (electronic bk.)
3030638464 (electronic bk.)
3030638456
9783030638450
3030638464 (electronic bk.)
3030638456
9783030638450
Published
Cham : Springer, 2021.
Copyright
©2021
Language
English
Description
1 online resource (xv, 990 pages)
Item Number
10.1007/978-3-030-63846-7 doi
Call Number
TJ808 .A78 2021eb
Dewey Decimal Classification
333.7902856/3
Summary
This proceedings book emphasizes adopting artificial intelligence-based and sustainable energy efficiency integrated with clear objectives, to involve researchers, students, and specialists in their development and implementation adequately in achieving objectives. The integration of artificial intelligence into renewable energetic systems would allow the rapid development of a knowledge-based economy suitable to the energy transition, while fully integrating the renewables into the global economy. This is how artificial intelligence has hand in by conceptualizing this transition and above all by saving time. The knowledge economy is valuated within the smart cities, which are fast becoming the favorite places where the energy transition will take place efficiently and intelligently by implementing integrated approaches to energy saving and energy supply and integrated urban approaches that go beyond individual interventions in buildings or transport modes using information and communication technologies.
Note
Includes author index.
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text file
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Source of Description
Description based on print version record.
Online resource; title from PDF title page (SpringerLink, viewed February 23, 2021).
Online resource; title from PDF title page (SpringerLink, viewed February 23, 2021).
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Series
Lecture notes in networks and systems ; v. 174.
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Table of Contents
Part I. Hybrid Energetic Systems PV-WIND, with Energy Storage
Part II. Heuristic Optimization, Modeling and Control of Energetic Systems
Part III. Engineering Applications of Artificial Intelligence
Part IV. Internet of Things, Database and Transmission
Part V. Power and Materials in Renewable Energetic Systems. 96 papers.
Part II. Heuristic Optimization, Modeling and Control of Energetic Systems
Part III. Engineering Applications of Artificial Intelligence
Part IV. Internet of Things, Database and Transmission
Part V. Power and Materials in Renewable Energetic Systems. 96 papers.