Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy (EAI/Springer Innovations in Communication and Computing)

✍ Scribed by Mukhdeep Singh Manshahia (editor), Valeriy Kharchenko (editor), Gerhard-Wilhelm Weber (editor), Pandian Vasant (editor)

Publisher: Springer
Year: 2023
Tongue: English
Leaves: 307
Edition: 1st ed. 2023
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.

📜 SIMILAR VOLUMES

Advances in Artificial Intelligence for

📁 Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy (EAI/Springer Innovations in Communication and Computing)

✍ Mukhdeep Singh Manshahia (editor), Valeriy Kharchenko (editor), Gerhard-Wilhelm 📂 Library 📅 2023 🏛 Springer 🌐 English

This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable

Advances in Artificial Intelligence for

📁 Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy

✍ Mukhdeep Singh Manshahia, Valeriy Kharchenko, Gerhard-Wilhelm Weber, Pandian Vas 📂 Library 📅 2023 🏛 Springer-EAI 🌐 English

Renewable Energy for Smart and Sustainab

📁 Renewable Energy for Smart and Sustainable Cities: Artificial Intelligence in Renewable Energetic Systems

✍ Mustapha Hatti 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

This book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24–26 November 2018, at the High School of Commerce, ESC-Koléa in Tipaza, Algeria. Today, the fundamental challenge

Computing in Intelligent Transportation

📁 Computing in Intelligent Transportation Systems (EAI/Springer Innovations in Communication and Computing)

✍ Archana Naganathan; Niresh Jayarajan; Mamun Bin Ibne Reaz 📂 Library 🌐 English

Integrating Blockchain and Artificial In

📁 Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations (EAI/Springer Innovations in Communication and Computing)

✍ Sam Goundar (editor), R. Anandan (editor) 📂 Library 📅 2023 🏛 Springer 🌐 English

This book discusses the convergence of artificial intelligence (AI) and Blockchain and how they can work together to help reach the goals of Industry 4.0. The authors first discuss how AI and Blockchain can help increase performance in business. The authors go on to discuss how the technologie

Artificial Intelligence for Renewable En

📁 Artificial Intelligence for Renewable Energy Systems (Artificial Intelligence and Soft Computing for Industrial Transformation)

✍ S. Balamurugan (editor), Ajay Kumar Vyas (editor), Kamal Kant Hiran (editor), Ha 📂 Library 📅 2022 🏛 Wiley-Scrivener 🌐 English

ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMSRenewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning