£118.97

Elsevier - Intelligent Learning Approaches for Renewable Energy

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Description

Explore the intersection of advanced technology and sustainability with Intelligent Learning Approaches for Renewable and Sustainable Energy. Published by Elsevier, this academic resource focuses on the application of modern computational methods within the energy sector. As the demand for clean power grows, understanding how machine learning and artificial intelligence can optimize energy systems becomes more important. This book provides a deep look into how intelligent learning models can be applied to renewable energy challenges, helping researchers and professionals stay updated on current scientific trends. This title is an essential addition to any library focused on computer science, AI, or sustainable engineering. It provides a structured way to study how automated learning processes can improve the efficiency and management of renewable energy resources. Whether you are a student or a professional in the field of AI and machine learning, this Elsevier publication offers specialized knowledge for navigating the future of sustainable technology.

Key Features

Published by Elsevier to ensure high academic and professional standards for readers in the energy and computing sectors.

Focuses on the application of AI and machine learning within the field of renewable and sustainable energy systems.

Provides specialized knowledge for those studying the intersection of computer science and environmental technology.

Serves as a technical resource for understanding intelligent learning models in modern energy management.

Categorized under computer science and AI to support researchers looking for advanced computational approaches.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 March 2024
Listed Since
24 May 2023

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