Overview

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.

Full Product Details

Author:   Yuekuan Zhou, PhD (Assistant Professor, Sustainable Energy and Environment, Hong Kong University of Science and Technology (Guangzhou), China) ,  Jinglei Yang (Associate Professor, School of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology (HKUST), Hong Kong, China) ,  Guoqiang Zhang, PhD (Professor, College of Civil Engineering; Dean, Institute of Sustainable Urbanization and Construction Innovation, Hunan University, Changsha, Hunan Province, China) ,  Peter D. Lund (Professor in Advanced Energy Systems, Aalto University, Finland)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
Weight:   0.480kg
ISBN:  

9780443131776

ISBN 10:   0443131775
Pages:   300
Publication Date:   22 November 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction to smart buildings and intelligent transportations with Artificial Intelligent and Digitalization Technology2. ML and AI Distributed Renewable Energy sources, technologies, perspectives, and challenges3. Building occupants’ behavior and vehicle driving schedule with demand prediction and analysis4. Spatiotemporal energy sharing with new energy vehicles and Human-Machine Interaction5. Integrated Energy Flexible Building and E-Mobility with Demand-side management and model predictive control6. Electrification and hydrogenation in integrated building-transportation systems for sustainability7. Hybrid Energy storages in buildings with AI8. Smart grid with energy digitalization9. AI-powered ‘source-grid-load-storage’ optimization in multi-energy systems10. Prosumer-based P2P energy trading with advanced energy pricing mechanism11. Blockchain technologies for secure and tamper-proof in energy trading12. Energy Resilience, Robustness and Reliability in smart district energy systems13. Application of internet of energy things and digitalization in smart grid operation14. Application of Big Data and cloud computing for Integrated Smart Building-Transportation Energy Systems development15. Social and economic analysis of integrated Building-Transportation Energy Systems

Reviews

Author Information

Yuekuan Zhou is an Assistant Professor of Sustainable Energy and Environment at the Hong Kong University of Science and Technology (Guangzhou), China. His research aims at achieving smart zero-energy and zero-carbon district energy systems for carbon neutrality and climate change mitigation, via cleaner power production, energy-efficient system design and operation, innovation in smart energy integration, multi-objective optimization on nonlinear dynamic behaviours with artificial intelligence. Asst. Prof. Zhou has published more than 80 papers on these topics in international, peer-reviewed journals. His current research interests include latent thermal storage, electrochemical battery, hydrogen and pumped hydro storages in zero-energy buildings, life-cycle carbon-neutral buildings, peer-to-peer energy trading and inter-city energy migration energy network with a hydrogen economy. Prof. Jinglei Yang is an Associate Professor in the School of Mechanical and Aerospace Engineering at the Hong Kong University of Science and Technology (HKUST). For more than 20 years, he has conducted research in the fields of materials science and mechanics of materials. He has also worked on nano- and micro-encapsulation for a variety of applications, including self-healing materials, thermal regulating materials, and antibacterial and wear-resistant/self-lubricating polymers, FRP composites, fiber-metal laminates, nanocomposites, stimuli-responsive polymers, and mechanics. He has multidisciplinary expertise in a variety of fields, including chemical synthesis, production, thermal analysis, and mechanical characterization. He has developed a novel technique to microencapsulate different chemicals and reagents for multipurpose applications. His most recent accomplishments include being named to the Top 1 percent of international materials scientists from the Stanford-Ranking List for the year 2020 and being elected as a Fellow of the Royal Society of Chemistry and Royal Aeronautical Society in 2021. He is currently in charge of more than 30 team members and has completed or is managing more than 30 projects. Prof. Zhang was the national candidate of the New Century Talents project, an innovative promotion plan of the Ministry of Science and Technology of China. His areas of expertise include indoor air quality, district energy systems, and high-quality, sustainable construction, and his work has received recognition at a national and international level. Prof. Zhang is the founding scientist of the China Construction 4.0 – Sustainable Urbanization and Construction Innovation Platform, but also serves as Dean of the Institute of Sustainable Urbanization and Construction Innovation at Hunan University and as Director of the National Center for International Research Collaboration in Building Safety and Environment of the People’s Republic of China. Peter Lund is Professor in Advanced Energy Systems at Aalto University, Finland. He has about 40 years of experience in energy technology, innovations, systems, and policy. Dr. Lund has worked as a visiting professor at Southeast University, Technical University of Dresden (Germany), and Hubei University (Wuhan) (Nanjing). He served as the chair of the European Commission's Energy Advisory Group from 2002 to 2006. He also serves as the chair of the Energy Steering Panel of the European Academies Science Advisory Council (EASAC) and is a participant in the Euro-CASE and European University Association energy platforms (European Council of Applied Sciences Technologies and Engineering). Prof. Lund has provided advice to numerous companies and international energy programs, including the International Energy Agency. He is a member of the Swedish Engineering Academy in Finland and the Editor-Europe of the journal Energy Research and Interdisciplinary Reviews: Energy and Environment. He regularly gives lectures on energy all over the world and has published more than 500 research publications. He has received several awards from around the world, most recently the Jinling Award in 2016.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions