£127.38

Elsevier - Digitalization and Machine Learning for Energy Systems

Name: Elsevier - Digitalization and Machine Learning for Energy Systems
Brand: Elsevier
Price: 127.38 GBP
Availability: InStock

AI & Machine Learning

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Description

Explore the integration of modern technology with energy infrastructure through this specialized publication from Elsevier. This book focuses on the intersection of digitalization and machine learning within integrated building and transportation energy systems. As energy demands evolve, understanding how computer science and AI can optimize these systems becomes necessary. This text provides a foundation for studying how machine learning techniques apply to the complex relationship between building energy use and transportation networks. It is designed for readers interested in the technical aspects of computing and internet technologies as they relate to sustainable energy management. By focusing on the application of advanced digital tools, this work helps bridge the gap between traditional energy systems and the future of automated, intelligent infrastructure. It serves as a valuable resource for those studying computer science, AI, and the technical evolution of energy-efficient environments.

Key Features

Focuses on the application of machine learning within integrated energy systems for buildings and transportation.

Published by Elsevier, a trusted name in academic and technical literature.

Covers essential topics in digitalization and how it impacts modern energy infrastructure.

Provides technical insights relevant to the fields of computer science and artificial intelligence.

Explores the connection between computing technologies and integrated energy management.

Product Specifications

Brand: Elsevier
Format: paperback
ASIN: 0443131775
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 20 November 2023
Listed Since: 05 April 2023

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Elsevier - Digitalization and Machine Learning for Energy Systems

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