Autore: Qixin Chen

Qixin Chen, IEEE Senior Member, Tenured Associate Professor of Department of Electrical Engineering in Tsinghua University, Chair of IEEE working group on load aggregation; Associate Director for Energy Internet Research Institute, Tsinghua University   Research interests: Power market, low carbon electricity technology, power system.   Honors: – National Youth Top-notch Talent Support Program, Ministry of Science and Technology, China (2018) – National Science Fund for Distinguished Young Scholars (2016); – Research Fund for Distinguished Young Scholars, Fok Ying-Tong Education Foundation (2015); – Beijing New-Star Plan for Young Scholars, Scientific Committee of Beijing City Government (2015); -Young Scientist Honor (40 under the Age of 40), by World Economic Forum Summer Davos (2013); -Top 35 Young Innovator under the Age of 35 (TR 35), by MIT Technology Review (2012); -First Runner-up, Young Scientist Award, by Pro Sper.Net, Scopus and Elsevier (2011); -Nominee Honor, National Excellent 100 Doctoral Dissertation, Ministry of Education, China (2013); -Paper Author, China”s top 5000 scientific journal papers (F5000) (2012/2013/2016); -Annual Award for Publishing a One-Hundred Most Influential Chinese Scholar Paper (2012).       Hongye Guo, postdoc research fellow at Department of Electrical Engineering in Tsinghua University. Visiting scholar of Stanford University in 2018. Visiting scholar of Illinois Institute of Technology in 2019.   Research interests: Power market, game theory, energy economics, machine learning.   Honors: – “Shuimu” Tsinghua Scholar (2020); – Best Ph D Dissertation of Tsinghua University (2020); – Outstanding Young Researcher, Department of Electrical Engineering, Tsinghua University (2020); – Doctoral National Scholarship (2019); – Integrated Excellence Scholarships, Tsinghua University (2018);       Kedi Zheng, Ph D student of Department of Electrical Engineering in Tsinghua University.   Research interests: Power market, locational marginal price (LMP) theory, electricity forecasting.   Honors: – Integrated Excellence Scholarships, Tsinghua University (2018/2020) – Outstanding Graduate Award, City of Beijing (2017); – Excellent Graduate Award, Tsinghua University (2017);       Yi Wang, Assistant Professor of Department of Electrical and Electronic Engineering in the University of Hong Kong, Editor of International Transactions on Electrical Energy Systems, Youth Associate Editor of CSEE Journal of Power & Energy Systems, Secretary of IEEE working group on load aggregation.   Research interests: Load forecasting, demand response, machine learning for smart grid, multiple energy systems.   Honors: -Siebel Scholar Award; -IEEE Transactions on Smart Grid Best Reviewer (2018/2017); -IEEE Transactions on Power Systems Outstanding Reviewer (2018/2016); -Fellowships for Future Scholars, Tsinghua University (2014); -Tsinghua Science & Technology Best Paper Awards; -Doctoral National Scholarship (2016/2017/2018).