Education background

2015.09-2020.06，North China Electric Power University, Ph.D., Electrical Engineering

2011.09-2015.06, North China Electric Power University, B.Sc., Electrical Engineering

Work experiences

2022.06-, College of Smart Energy, Shanghai Jiao Tong University, Assistant Professor

2020.08-2022.06, Department of Electrical Engineering, Tsinghua University, Postdoctoral Researcher

1. Virtual power plant/Demand response

2. Energy forecasting

3. The application of AI in power systems

1. K. Li, Y. Wang, N. Zhang, F. Wang, “Precision and Accuracy Co-optimization Based Demand Response Baseline Load Estimation Using Bi-directional Data”, IEEE Trans. Smart Grid, vol. 14, no. 1, pp. 266-276, 2022.

2. K. Li, J. Yan, L. Hu, F. Wang and N. Zhang, “Two-stage Decoupled Estimation Approach of Aggregated Baseline Load under High Penetration of Behind-the-Meter PV System,” IEEE Trans. Smart Grid,vol.12, no. 6, pp. 4876-4885, Nov. 2021.

3. K. Li, F. Wang, Z. Mi, M. Fotuhi-Firuzabad, N. Duić, and T. Wang, “Capacity and Output Power Estimation Approach of Individual Behind-the-meter Distributed Photovoltaic System for Demand Response Baseline Estimation,” Appl. Energy, vol. 253, p. 113595, Nov. 2019.

4. K. Li, L. Liu, F. Wang, T. Wang, N. Duić, M. Shafie-khah, et al, “Impact Factors Analysis on the Probability Characterized Effects of Time of Use Demand Response Tariffs Using Association Rule Mining Method,” Energy Convers. Manag., vol. 197, p. 111891, Oct. 2019.

5. K. Li, X. Cao, X. Ge, F. Wang, X. Lu, M. Shi, et al, “Meta-heuristic Optimization Based Two-stage Residential Load Pattern Clustering Approach Considering Intra-cluster Compactness and Inter-cluster Separation,” IEEE Trans. Ind. Appl., vol. 56, no. 4, pp. 3375-3384, Jul.-Aug. 2020.

6. K. Li, Q. Mu, F. Wang, Y. Gao, G. Li, M. Shafie-khah, et al, “A Business Model Incorporating Harmonic Control as a Value-added Service for Utility-owned Electricity Retailers,” IEEE Trans. Ind. Appl., vol. 55, no. 5, pp. 4441–4450, Sept.-Oct. 2019.

7. F. Wang, X. Lu, X. Chang, X. Cao, S. Yan, K. Li*, et al, “Household Profile Identification for Behavioral Demand Response: A Semi-supervised Learning Approach Using Smart Meter Data,” Energy, vol. 238, pp.121728, 2022.

8.F. Wang, X. Ge, P. Yang, K. Li*, Z. Mi, P. Siano, et al, “Day-ahead Optimal Bidding and Scheduling Strategies for DER Aggregator Considering Responsive Uncertainty Under Real-time Pricing,” Energy, vol. 213, pp. 118765, Dec. 2020.

9.F. Wang, X. Ge, K. Li* and Z. Mi, “Day-ahead Market Optimal Bidding Strategy and Quantitative Compensation Mechanism Design for Load Aggregator Engaging Demand Response,” IEEE Trans. Ind. Appl., vol. 55, no. 6, pp. 5564–5573, Nov.-Dec. 2019.

10.F. Wang, K. Li, C. Liu, Z. Mi, M. Shafie-Khah, and J. P. S. Catalão, “Synchronous Pattern Matching Principle-based Residential Demand Response Baseline Estimation: Mechanism Analysis and Approach Description,” IEEE Trans. Smart Grid, vol. 9, no. 6, pp. 6972–6985, Nov. 2018.

1. 2022-2023, National Natural Science Foundation of China (NSFC), Joint Optimization Method for Load Aggregator Demand Response Capability Prediction and Bidding Pricing in Ancillary Service Markets, Principal Investigator, Ongoing.

2. 2022-2023: Opening Foundation of State Key Laboratory of Power System Operation and Control: Research on optimal decision-making method of load aggregators under market-oriented demand response trading mechanism, Principal Investigator, Ongoing.

3. 2021-2022, Opening Foundation of State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Quantification of Real-time Residential Load Demand Response Potential under Multi-incentive and Its Application. Principal Investigator, Completed.

4. 2020-2022, China Postdoctoral Science Foundation General Program, Demand Response Baseline Load Estimation Method Based on Temporal-Spatial Correlation. Principal Investigator, Completed.

5. 2020-2022, Key Special Project of Inter-Governmental International Cooperation under National Key Research and Development Program: Key Technologies for Enhancing Demand Side Resource Aggregation and Response to Improve Power System Supply-Demand Balance in Market Environment, Major Participant. Completed.

6. 2018-2021, Sub-project of National Key Research and Development Program: Ultra-Short-Term Power Forecasting Technology for Wind/Solar Power Considering Resource Correlation. Major Participant, Completed.

7. 2018-2019, Youth Cultivation Project of Central Universities: Research on Baseline Load Estimation Method for Incentive-Based Demand Response of Residential Users. Principal Investigator, Completed.

8. 2018-2020, Headquarters Science and Technology Project of State Grid Corporation of China: Operation and Control Key Technologies of Flexible Load Aggregator for Power Markets, Major Participant. Completed.

1. Excellent Ph.D. Dissertation in Hebei Province, 2021

2. Best Reviewer of IEEE Transactions on Power Systems, 2021

3. Outstanding Graduate of Beijing, 2020

4. President Scholarship of North China Electric Power University, 2019

5. National Scholarship for Ph.D. Students, 2019

6. Best Design Award of IEEE IAS Electrical Safety Prevention Engineering, 2019

7. Third Prize of Hebei Province Patent (as the second inventor), 2019.