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Artificial intelligence and renewabl...

Hatti, Mustapha.

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Artificial intelligence and renewables towards an energy transition

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and renewables towards an energy transition/ edited by Mustapha Hatti.
其他作者:	Hatti, Mustapha.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xv, 990 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Renewable energy sources - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-63846-7
ISBN:	9783030638467

Artificial intelligence and renewables towards an energy transition
Artificial intelligence and renewables towards an energy transition[electronic resource] /edited by Mustapha Hatti. - Cham :Springer International Publishing :2021. - xv, 990 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v.1742367-3370 ;. - Lecture notes in networks and systems ;v.174..

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.

ISBN: 9783030638467

Standard No.: 10.1007/978-3-030-63846-7doiSubjects--Topical Terms:

3219492
Renewable energy sources
--Data processing.

LC Class. No.: TJ808

Dewey Class. No.: 333.79028563

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