Zejia Jing

PhD Candidate


Research Area

I am now doing my research on blockchain based energy trading and renewable energy.  My research interest includes demand response, blockchain technology, energy trading strategies  and renewable energy. My dissertation area will focus on peer to peer PV and demand response trading using blockchain technology.



[1] MATPLAN: A Probability-based Planning Tool for Cost-effective Grid Integration of Renewable Energy, Renewable Energy Volume 156, 2020

[2] Blockchain-based Negawatt Trading Platform: Conceptual Architecture and Case Studies, 2019 IEEE PES GTD Grand International Conference and Exposition Asia, Mar. 19-23 2019, Bangkok, Thailand

[3] Commercial Building Load Forecasts with Artificial Neural Network 2019 IEEE PES Innovative Smart Grid Technologies Conference (ISGT NA), Feb. 17-20, 2019, Washington, DC, USA

[4] Master thesis: USC Microgrid Assessment Study, University of Southern California, May 2015

[5] Modeling and Performance Evaluation of Grid-interactive Efficient Buildings (GEB) in a Microgrid Environment, IEEE Open Access Journal of Power and Energy, 2021

[6] Modeling and Investigating Short-Circuit Strength with Increased Renewables, 2022 Georgia Tech Protective Relaying Conference, Atlanta, Georgia, USA

[7] Doctoral dissertation: Blockchain-based Peer-to-peer Electricity Trading Framework Through Machine Learning-based Anomaly Detection Technique, Virginia Tech, August 2022