Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems
Book Details
Format
Paperback / Softback
ISBN-10
0443131775
ISBN-13
9780443131776
Publisher
Elsevier - Health Sciences Division
Imprint
Elsevier - Health Sciences Division
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Nov 22nd, 2023
Print length
300 Pages
Weight
492 grams
Dimensions
15.20 x 22.90 x 2.00 cms
Product Classification:
Power networks, systems, stations & plantsRoboticsArtificial intelligenceMachine learning
Ksh 27,000.00
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Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems examines the combined impact of buildings and transportation systems on energy demand and use. With a strong focus on AI and machine learning approaches, the book comprehensively discusses each part of the energy lifecycle, considering source, grid, demand, storage, and usage. Opening with an introduction to smart buildings and intelligent transportation systems, the book presents the fundamentals of AI and its application in renewable energy sources, alongside the latest technological advances. Other topics presented include building occupants’ behavior and vehicle driving schedule with demand prediction and analysis, hybrid energy storages in buildings with AI, smart grid with energy digitalization, and prosumer-based P2P energy trading. The book concludes with discussions on blockchain technologies, IoT in smart grid operation, and the application of big data and cloud computing in integrated smart building-transportation energy systems. This title provides critical information to students, researchers, and engineers wanting to understand, design, and implement flexible energy systems to meet the rising demand in electricity.
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