个人简介：

蔡蒙蒙，湖南长沙人。分别于湖南大学、天津大学和美国弗吉尼亚理工大学获得电气工程专业学士、硕士及博士学位。读博期间，师从IEEE Life Fellow、前IEEE主席Saifur Rahman教授。先后在隶属于美国能源部的西北太平洋国家实验室（PNNL）及国家可再生能源实验室（NREL）实习。毕业后，以博士后身份加入NREL，一年后转为长聘研究员，工作至2024年。在美期间，共同主持及核心参与10余项美国能源部及企业资助项目，与多家电力企业及新能源科技公司合作实现科研成果到工程应用的转化。曾获NREL总统奖、杰出员工奖、Applied Energy高被引论文奖、以及美国能源部American-Made Solar Prize奖。在电气工程领域发表高水平学术论文20余篇，其中ESI高被引1篇。IEEE RSICC委员会成员。多次受邀参加国际会议（如INFORMS，GridForward）作专题研讨与担任分会场主席。研究方向聚焦：1）考虑多重不确定性及时空波动性的灵活资源量化建模；2）计及交付风险与系统准入标准的灵活资源聚合协同；3）面向源-网-荷-储多元决策主体的灵活资源市场交易。

教育背景：

弗吉尼亚理工大学（Virginia Tech），电气工程，博士，2020, Saifur Rahman教授

天津大学，电气工程，硕士，2014，王萍 教授

湖南大学，电气工程及其自动化，学士，2012

工作经历：

2024年7月至今，js333线路检测中心，上岗副研究员

2021年6月-2024年4月，美国国家可再生能源实验室(NREL)，长聘研究员

2020年6月-2021年5月，美国国家可再生能源实验室(NREL)，博士后

2019年5月-2019年8月，美国国家可再生能源实验室(NREL)，实习研究员

2019年2月-2019年5月，美国西北太平洋国家实验室(PNNL)，实习研究员

荣誉奖项：

2023，总统奖（President Award）, 美国国家可再生能源实验室（NREL）

2023，杰出员工（Exceptional）, 美国国家可再生能源实验室（NREL）

2023，American-Made Solar Prize获胜团队，美国能源部SETO

2020, 高被引论文奖，Applied Energy

科研项目：

1. Hardware-in-the-Loop Evaluation for AI-Based Active PV Plant Control, 美国能源部SETO，共同主持

2. An Integrated Paradigm for the Management of Delivery Risk in Electricity Market, 美国能源部ARPA-E，核心参与

3. Regional Real-Time PV Spinning Reserve Estimator，美国能源部SETO，核心参与

4. Seasonal Impact of Forest Fires on Solar Generation, Energy Prices and Reserve Requirements, 美国能源部SETO，核心参与

5. Situational Awareness of Grid Anomalies，美国能源部CESER，核心参与

6. Building Energy Management Open Source Software (BEMOSS) ，美国能源部BTO，参与

7. GridAPPS-D，美国能源部OE，参与

8. Distribution System Operation with Transactive Energy and Exchange (DSO+T), 美国能源部OE，参与

9.  An Energy Internet Platform for Transactive Energy and Demand Response Applications，美国能源部SBIR，参与

10.  Estimate Energy Savings and Peak Demand Reduction Potentials of Selected Buildings in Bronzeville Microgrid，ComEd，核心参与

代表论文：

1. M. Cai*, W. Wang, X. Fang, A. R. Florita, M. Ingram and D. Christensen, "Demonstrating the transient system impact of cyber-physical events through scalable transmission and distribution (T&D) co-simulation," in CSEE Journal of Power and Energy Systems, doi: 10.17775/CSEEJPES.2023.01710.

2. M. Cai*, R. Yang, X. Zhang, Y. Zhang and S. Rahman, "Double-Signal Retail Pricing Scheme for Acquiring Operational Flexibility From Batteries," in IEEE Transactions on Sustainable Energy, vol. 13, no. 2, pp. 693-703, April 2022, doi: 10.1109/TSTE.2021.3128349.

3. M. Cai*, R. Yang and Y. Zhang, "Iteration-Based Linearized Distribution-Level Locational Marginal Price for Three-Phase Unbalanced Distribution Systems," in IEEE Transactions on Smart Grid, vol. 12, no. 6, pp. 4886-4896, Nov. 2021, doi: 10.1109/TSG.2021.3094494.

4. M. Cai*, M. Pipattanasomporn, and S. Rahman, “Day-ahead Building-level Load Forecasts Using Deep Learning vs. Traditional Time-series Techniques”, in Applied Energy 236, 1078–1088 (2019), doi: 10.1016/j/apenergy.2018.12.042

5. X. Zhang*, D. Biagioni, M. Cai, P. Graf and S. Rahman, "An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning," in IEEE Transactions on Smart Grid, vol. 12, no. 1, pp. 420-431, Jan. 2021, doi: 10.1109/TSG.2020.3014055.

6. W. Jiang*, J. Chen, H. Tang, S. Cheng, Q. Hu, M. Cai and S. Rahman, "A Physical Probabilistic Network Model for Distribution Network Topology Recognition Using Smart Meter Data," in IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 6965-6973, Nov. 2019, doi: 10.1109/TSG.2019.2936148.

7. M. Cai*, S. Julien, J. Wang, S. Ganguly, W. Yan, Z. Jacobs, T. Liu and V. Gevorgian, “Hardware-in-the-Loop Evaluation for Potential High Limit Estimation-Based PV Plant Active Control”, 2024 IEEE 52th Photovoltaic Specialists Conference (PVSC), Seattle, WA, USA, 2023

8. M. Cai*, E. Mendiola, W. Yan, J. Wang, S. Julien, T. Liu, Z. Jacobs, and V. Gevorgian, “Closed-Loop Validation for AI-Based Active PV Plant Control in Supporting AGC”, 2024 IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, USA, 2024

9. M. Cai*, G. Saraswat and V. Gevorgian, "Real-Time Regional PV Spinning Reserve Estimator with AGC Look-Ahead Windows," 2023 IEEE 50th Photovoltaic Specialists Conference (PVSC), San Juan, PR, USA, 2023, pp. 1-3, doi: 10.1109/PVSC48320.2023.10359587.

10. M. Cai*, V. Ravi, C. -A. Lin, M. Sengupta and Y. Zhang, "Impact of Wildfires on Solar Generation, Reserves and Energy Prices," 2023 IEEE Green Technologies Conference (GreenTech), Denver, CO, USA, 2023, pp. 20-24, doi: 10.1109/GreenTech56823.2023.10173826.

11. M. Cai*, X. Fang and A. Florita, "A Medium-/Low-Voltage Joint State Estimator Through Linear Uncertainty Propagation," 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 1-5, doi: 10.1109/PESGM48719.2022.9917189.

12. M. Cai*, S. Ramdaspalli, M. Pipattanasomporn, S. Rahman, A. Malekpour and S. R. Kothandaraman, "Impact of HVAC Set Point Adjustment on Energy Savings and Peak Load Reductions in Buildings," 2018 IEEE International Smart Cities Conference (ISC2), Kansas City, MO, USA, 2018, pp. 1-6, doi: 10.1109/ISC2.2018.8656738.

13. W. Wang*, M. Cai, X. Fang and C. Irwin, "Impact of Open Communication Networks on Load Frequency Control with Plug-In Electric Vehicles By Cyber-Physical Dynamic Co-simulation," 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 2023, pp. 1-5, doi: 10.1109/ISGT51731.2023.10066380.

14. B. Bhattarai*, M. Maharjan, S. Hanif, M. Cai and R. Pratt, "Transactive Electric Water Heater Agent: Design and Performance Evaluation," 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 2020, pp. 1-5, doi: 10.1109/ISGT45199.2020.9087638.

15. X. Zhang*, M. Cai, M. Pipattanasomporn and S. Rahman, "A Power Disaggregation Approach to Identify Power-Temperature Models of HVAC Units," 2018 IEEE International Smart Cities Conference (ISC2), Kansas City, MO, USA, 2018, pp. 1-6, doi: 10.1109/ISC2.2018.8656976.