Economically Enabled Energy Management

Economically-enabled Energy Management: Overview and Research Opportunities.- Supply and Demand Balance Control Based on Balancing Power Market.- Resolving Discrepancies in Problem Formulations for Electricity Pricing by Control Engineers and Economists.- E ectiveness of Feed-In Tari and Renewable Portfolio Standard under Strategic Pricing in Network Access.- The Welfare E ects of Environmental Taxation and Subsidization on Renewable Energy Sources in an Oligopolistic Electricity Market.- Behavioral Study of Demand Response: Web-Based Survey, Field Experiment, and Laboratory Experiment.- Economic Impact and Market Power of Strategic Aggregators in Energy Demand Networks.- Incentive-Based Economic and Physical Integration for Dynamic Power Networks.- Distributed Dynamic Pricing in Electricity Market with Information Privacy.- Real-Time Pricing for Electric Power Systems by Nonlinear Model Predictive Control.- Distributed Multi-Agent Optimization Protocol over Energy Management Networks.- A Passivity-Based Design of Cyber-Physical Building HVAC Energy Management Integrating Optimization and Physical Dynamics.

Takeshi Hatanaka received his B.Eng. degree in informatics and mathematical science, and his M.Inf. and Ph.D. degrees in applied mathematics and physics, from Kyoto University, Japan, in 2002, 2004 and 2007, respectively. He joined Tokyo Institute of Technology in 2007, where he held positions as an assistant and associate professor. In 2016, he spent an eight-month sabbatical at the School of Engineering and Applied Sciences, Harvard University. Since April 2018, he has been an Associate Professor at Osaka University. His research interests include energy management systems and networked robotics. He received the Outstanding Paper Award (2009, 2015), Pioneer Award (2014), Outstanding Book Award (2016), Kimura Award (2017), and Control Division Conference Award (2018), all from the SICE. He is an associate editor for the journals IEEE TSCT and SICE JCMSI, and a member of the Conference Editorial Board of IEEE CSS. He is the coauthor of Passivity-Based Control and Estimation in Networked Robotics (Springer, 2015).
Yasuaki Wasa is currently an assistant professor of Electrical Engineering and Bioscience, Waseda University, Japan, since April 2019. He received his B.Eng. degree in control and systems engineering, and his M.Eng. and Ph.D. degrees in mechanical and control engineering, from Tokyo Institute of Technology, Japan in 2011, 2013 and 2016, respectively. He was a research fellow of the Japan Society for the Promotion of Science from 2014 to 2017, and a junior researcher at Waseda University from 2017 to 2019. His research interests include dynamic incentive design in energy management systems, and game theoretic distributed learning and optimization for cyber-physical & human systems. He received the Hatakeyama Award (2012) and Miura Award (2014) from the JSME, the Outstanding Paper Award (2015) and the Young Author Award (2019) from the SICE. He was also a recipient of Asian Control Conference 2019 Best Paper Award Finalist.
Kenko Uchida graduated from