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Smart computing and control renewable energy systems = advanced computational techniques for wireless network optimization /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Smart computing and control renewable energy systems/ edited by Mustapha Hatti.
Reminder of title:	advanced computational techniques for wireless network optimization /
other author:	Hatti, Mustapha.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xv, 796 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Renewable energy sources. -
Online resource:	https://doi.org/10.1007/978-3-031-80301-7
ISBN:	9783031803017

Smart computing and control renewable energy systems = advanced computational techniques for wireless network optimization /
Smart computing and control renewable energy systemsadvanced computational techniques for wireless network optimization /[electronic resource] :edited by Mustapha Hatti. - Cham :Springer Nature Switzerland :2025. - xv, 796 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in networks and systems,12382367-3389 ;. - Lecture notes in networks and systems ;v.1..

This essential book bridges the gap between cutting-edge artificial intelligence and the dynamic world of renewable energy systems. Embark on a journey to the forefront of sustainable energy innovation with this groundbreaking collection of research papers and expert insights. Designed for curious minds and industry leaders alike, this comprehensive resource offers: - A deep dive into the latest advancements in smart computing for sustainable energy. - Exploration of AI-driven techniques revolutionizing energy efficiency and management. - Real-world applications showcasing the transformative power of intelligent systems in renewables. - Insights into futuristic energy infrastructures powered by artificial intelligence. - A perfect blend of theoretical foundations and practical implementations. To a seasoned researcher pushing the boundaries of knowledge, a graduate student aspiring to make a mark, or an industry professional staying ahead of the curve, this book is a gateway to the future of energy. Discover how machine learning is reshaping solar forecasting, uncover the potential of autonomous systems in energy storage, and explore the role of AI in crafting smarter, more sustainable cities. From predictive maintenance that ensures uninterrupted power to intelligent control systems optimizing energy generation, this book covers it all. Don't just witness the renewable energy revolution-be part of it. This book equips readers with the knowledge and inspiration to drive innovation in this critical field. It is more than a collection of papers; it is a roadmap to a sustainable future where smart computing and renewable energy converge. Prepare to challenge your assumptions, expand your expertise, and contribute to a greener tomorrow. Order your copy today and position yourself at the vanguard of the smart energy movement!

ISBN: 9783031803017

Standard No.: 10.1007/978-3-031-80301-7doiSubjects--Topical Terms:

558536
Renewable energy sources.

LC Class. No.: TJ807.2

Dewey Class. No.: 621.042

Smart computing and control renewable energy systems = advanced computational techniques for wireless network optimization /
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