Handbook of Smart Energy Systems

lt;b>Mahdi Fathi is a visiting Assistant Professor at the Department of Information Technology and Decision Sciences, University of North Texas, USA. He won three postdoctoral fellowships at Ecole Central Paris (France), Ghent University (Belgium), Mississippi State University (USA). He was visiting scholar at Center for Applied Optimization, University of Florida (USA), National Tsing Hua University (Taiwan), and Tecnológico de Monterrey (Mexico). His research interests are Information Systems, Statistics, and Optimization.

Marzieh Khakifirooz received the Ph.D. degree in Industrial Engineering and Engineering Management and the M.S. degree in Industrial Statistics from the National Tsing Hua University, Taiwan. She is an Assistant Professor at School of Engineering, Monterrey Institute of Technology, Mexico. Her research interests include the application of optimization in smart manufacturing, Industry 4.0, decision making and machine teaching.

Enrico Zio received the Ph.D. degree in nuclear engineering from Politecnico di Milano, Italy and in probabilistic risk assessment at MIT, USA. He is currently full Professor at the Centre for Research on Risk and Crises of Ecole de Mines, ParisTech, PSL University, France, full Professor and President of the Alumni Association at Politecnico di Milano, Italy, eminent scholar at Kyung Hee University, Republic of Korea, distinguished guest professor at Tsinghua University, China, Adjunct Professor at City University of Hong Kong, Beihang University and Wuhan University, China and Co-Director of the Center for Reliability and Safety of Critical Infrastructures and the sino-french laboratory of Risk Science and Engineering, at Beihang University, China. In 2020, he has been awarded the prestigious Humboldt Research Award from the Alexander von Humboldt Foundation in Germany.

Panos M. Pardalos is a Distinguished Professor and the Paul and Heidi Brown Preeminent Professor in the Departments of ISE at the University of Florida, USA and a world renowned leader in Global Optimization, Mathematical Modeling, and Data Sciences. He is a Fellow of AAAS, AIMBE, and INFORMS and was awarded the 2013 Constantin Caratheodory Prize of the International Society of Global Optimization. In addition, He has been awarded the 2013 EURO Gold Medal prize bestowed by the Association for European Operational Research Societies. This medal is the preeminent European award given to Operations Research professionals for "scientific contributions that stand the test of time." Dr. Pardalos has been awarded a prestigious Humboldt Research Award (2018-2019). He is also a Member of the Lithuanian Academy of Sciences, the Royal Academy of Spain, and the National Academy of Sciences of Ukraine. He is the Founding Editor of Optimization Letters, Energy Systems, and Co-Founder of the International Journal of Global Optimization, and Computational Management Science. He has published over 500 journal papers, and edited/authored over 200 books.

A Stackelberg Game-Theoretic Model of Fee-and-Rebate Pricing in a Load-Reduction Emergency Demand Response Program.- Planning to Incorporate Energy Conservation Practices, Renewable Energy Production Systems, and Eco-friendly Building Design Practices to Support Sustainability in US Public Schools.- The Need for Self-Sufficiency and Integrated Water and Energy Management: The Case Study in the Water Supply System in a Small Mountain Town.- The Role of Blockchain and Cryptocurrency in Smart Grid: Renewable Energy Trading, System Security and Privacy Preservation.- Rethinking Renewable Energy Development in the Republic of Kazakhstan from the Perspectives of International Relations.- A PDE-Based Aggregate Power Tracking Control of Heterogeneous TCL Populations.- Energy Harvesting for Smart Energy Systems.- A PDE-Based Aggregate Power Tracking Control of Heterogeneous TCL Populations.- Energy Harvesting for Smart Energy Systems.- Dynamic Bayesian Network Based Approach for Modeling and Assessing Resilience of Smart Grid System.- An Integrated AI-Multiple Criteria Decision-Making Framework to Improve Sustainable Energy Planning in Manufacturing Systems: A Case Study.- Application of Machine Learning in Occupant and Indoor Environment Behavior Modeling: Sensors, Methods, and Algorithms.- Novel Integrated Membrane Auto-thermal Reactors (NIMATRs) for Energy Efficiency and Sustainability.- Software Engineering Smart Energy Systems.- Potential Impact of Net-Zero Energy Residential Buildings on the US Electric Grid.- Economical and Reliable Design of a Hybrid Energy System in a Smart Grid Network.- Energy Simulation Optimization for Building Insulation Materials.