Książki

This book gathers contributions from a multidisciplinary research team comprised of control engineering and economics researchers and formed to address a central interdisciplinary social issue, namely economically enabled energy management. The book's primary focus is on achieving optimal energy management that is viable from both an engineering and economic standpoint. In addition to the theoretical results and techniques presented, several chapters highlight experimental case studies, which will benefit academic researchers and practitioners alike.   
The first three chapters present comprehensive overviews of respective social contexts, underscore the pressing need for economically efficient energy management systems and academic work on this emerging research topic, and identify fundamental differences between approaches in control engineering and economics. In turn, the next three chapters (Chapters 4-6) provide economics-oriented approaches to the subject. The following five chapters (Chapters 7-11) address optimal energy market design, integrating both physical and economic models. The book's last three chapters (Chapters 12-14) mainly focus on the engineering aspects of next-generation energy management, though economic factors are also shown to play important roles.

Economically Enabled Energy Management: Interplay Between Control Engineering and Economics

1. Introduction
   
2. Balancing Power Market for Power System with Renewable Energy Sources
   
3. A Gap between Problem Formulations of Electricity Pricing by Control Engineers and Economists:  A viewpoint from budget constraints of consumers
   
4. Policy Issues and Future Perspectives of The Electricity Industry: Microeconomic Approach
   
5. Nudge and Energy Conservation: Field Experimental Evidence from HEMS and BEMS
   
6. The Welfare Effects of Environmental Taxation and Subsidization on Renewable Energy Sources in an Oligopolistic Electricity Market
   
7. Economic Impact and Market Power of Strategic Aggregators in Energy Demand Network
   
8. Incentive-based Economic and Physical Integration for Dynamic Power Networks
   
9. Dynamic Mechanism Design Theory for Faster Operations of Power Market
   
10. Distributed Optimal Power Management in Real-time Electricity Market
    
11. Real-Time Pricing for Electric Power Systems by Nonlinear Model Predictive Control
    
12. Distributed Multi-Agent Optimization Protocol over Energy Management Networks
    
13. Passivity-Based Cyber-Physical HVAC Energy Management for Multiple Connected Buildings