| A Data Driven Approach for Detection and Estimation of Residential PV Installations X Zhang, S Grijalva IEEE, 2016 | 104 | 2016 |
| Handling bad or missing smart meter data through advanced data imputation J Peppanen, X Zhang, S Grijalva, MJ Reno 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2016 | 96 | 2016 |
| A fast scalable quasi-static time series analysis method for PV impact studies using linear sensitivity model MU Qureshi, S Grijalva, MJ Reno, J Deboever, X Zhang, RJ Broderick IEEE Transactions on Sustainable Energy 10 (1), 301-310, 2018 | 48 | 2018 |
| Reliability assessment of distribution networks with distributed generations using Monte Carlo method X Zhang, Z Bie, G Li Energy Procedia 12, 278-286, 2011 | 42 | 2011 |
| Challenges in reducing the computational time of QSTS simulations for distribution system analysis. J Deboever, X Zhang, MJ Reno, RJ Broderick, S Grijalva, F Therrien Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | 40 | 2017 |
| An Advanced Data Driven Model for Residential Electric Vehicle Charging Demand X Zhang, S Grijalva PES General Meeting| Conference & Exposition, 2015 IEEE, 2015 | 40 | 2015 |
| A time-variant load model based on smart meter data mining X Zhang, S Grijalva, MJ Reno 2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014 | 35 | 2014 |
| A Fast Quasi-Static Time Series (QSTS) Simulation Method for PV Impact Studies Using Voltage Sensitivities of Controllable Elements X Zhang, S Grijalva, MJ Reno, J Deboever, RJ Broderick 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 1555-1560, 2017 | 19 | 2017 |
| Decentralized total transfer capability evaluation using domain decomposition methods X Zhang, S Grijalva IEEE Transactions on Power Systems 31 (5), 3349-3357, 2016 | 18 | 2016 |
| Scalability of the vector quantization approach for fast QSTS simulation J Deboever, S Grijalva, MJ Reno, X Zhang, RJ Broderick 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 1567-1572, 2017 | 16 | 2017 |
| A Hybrid Algorithm of Particle swarm optimization and tabu search for distribution network reconfiguration S Fang, X Zhang Mathematical Problems in Engineering 2016, 2016 | 12 | 2016 |
| Machine learning and big data analytics for the smart grid X Zhang Georgia Institute of Technology, 2017 | 7 | 2017 |
| Smart Energy Campus: A Smart Grid Test Bed for Advanced Modeling, Simulation, and Decision-Making X Zhang, S Grijalva | 6 | 2015 |
| Fast evaluation of probabilistic total transfer capability considering multiple wind farms X Zhang, JJ Thomas, S Grijalva 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 1-5, 2016 | 4 | 2016 |
| Multi-area ATC evaluation based on Kron reduction X Zhang, S Grijalva 2013 IEEE International Conference on Smart Energy Grid Engineering (SEGE), 1-6, 2013 | 4 | 2013 |
| Online Evaluation of Generator Grid-related Parameters Y Cheng, H Cheng, W Luan, X Zhang East China Electric Power, 789-793, 2013 | 3* | 2013 |
| Exploiting Emerging Data for Enhanced Load Modeling S Grijalva, X Zhang, E Khalil, A Abur, A Rouhani, C Christy, A Rajan https://pserc.wisc.edu/documents/publications/reports/2014_reports/S …, 2014 | 2 | 2014 |
| 一种基于Kron简化的跨区域可用传输能力分布式算法 张小辰， 程浩忠 电力系统自动化 37 (018), 68-75, 2013 | 2 | 2013 |
| 考虑大规模风电场与抽水蓄能联合运行的可用输电能力分析 张小辰 上海: 上海交通大, 2013 | 2 | 2013 |
Santiago GrijalvaGeorgia Institute of TechnologyVerified email at ece.gatech.edu
