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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
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Posts
Published:
- Email: liw14@rpi.edu
- Github: https://github.com/Wendy0601
- Office: 6308, JEC, RPI, Troy, NY 12180
- Address: 2408, 21st Street, Apt 6, Troy, NY 12180
publications
Improved AC fault ride through control strategy for MTDC system with offshore wind farms
Published in ICPST, 2014
Recommended citation: W. Li, J. Lv, G. Shi, X. Cai and Y. Chi, "Improved AC fault ride through control strategy for MTDC system with offshore wind farms," 2014 International Conference on Power System Technology, Chengdu, 2014, pp. 2409-2419.
A novel DC voltage control strategy for multiterminal HVDC system with offshore wind farms integration
Published in International Power Electronics and Application Conference and Exposition, 2014
Recommended citation: W. Li, G. Shi, X. Cai and N. Li, "A novel DC voltage control strategy for multiterminal HVDC system with offshore wind farms integration," 2014 International Power Electronics and Application Conference and Exposition, Shanghai, 2014, pp. 1110-1115.
Fast Event Identification through Subspace Characterization of PMU Data in Power Systems
Published in 2017 IEEE Power & Energy Society General Meeting, 2017
Recommended citation: W. Li, M. Wang and J. H. Chow, "Fast event identification through subspace characterization of PMU data in power systems," 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, 2017, pp. 1-5.
Recent Results of PMU Data Analytics by Exploiting Low-dimensional Structures
Published in Power Systems Dynamics and Control Symposium, 2017
Recommended citation: Wang, Meng, et al. "Recent Results of PMU Data Analytics by Exploiting Low-dimensional Structures." Proc. of the 10th Bulk Power Systems Dynamics and Control Symposium (IREP), Espinho, Portugal. 2017.
Real-Time Event Identification Through Low-Dimensional Subspace Characterization of High-Dimensional Synchrophasor Data
Published in IEEE Power System Transaction, 2018
Recommended citation: W. Li, M. Wang and J. H. Chow, "Real-Time Event Identification Through Low-Dimensional Subspace Characterization of High-Dimensional Synchrophasor Data," in IEEE Transactions on Power Systems, vol. 33, no. 5, pp. 4937-4947, Sept. 2018.
Identifying Overlapping Successive Events Using a Shallow Convolutional Neural Network
Published in IEEE Power System Transaction, 2019
Recommended citation: W. Li and M. Wang, "Identifying Overlapping Successive Events Using a Shallow Convolutional Neural Network," in IEEE Transactions on Power Systems.
Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks
Published in IEEE Power System Transaction, 2019
Recommended citation: W. Li, D. Deka, M. Chertkov and M. Wang, "Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks," in IEEE Transactions on Power Systems.
A Low-rank Framework of PMU Data Recovery and Event Identification
Published in International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), 2019
Recommended citation: M. Wang et al., "A Low-rank Framework of PMU Data Recovery and Event Identification," 2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), College Station, TX, USA, 2019, pp. 1-9.
Real-time Energy Disaggregation at Substations with Behind-the-Meter Solar Generation
Published in IEEE Power System Transaction, 2020
Recommended citation: W. Li, M. Yi, M. Wang, Y. Wang, D. Shi and Z. Wang, "Real-time Energy Disaggregation at Substations with Behind-the-Meter Solar Generation," in IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2020.3035639.
Physics-informed Neural Networks for High Impedance Fault Detection
Published in 2021 IEEE PowerTech Madrid - IEEE PES, 2021
Recommended citation: Li W, Deka D. Physics Informed Neural Networks for High Impedance Faults Detection. arXiv preprint arXiv:2008.02364, 2020.
talks
Fast Event Identification through Subspace Characterization of PMU Data in Power Systems
Published:
This research learn a dictinary of subspace to identify events efficiently 
Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks
Published:
The proposed method is able to locate the faulted line in the wide-area network with low obervability. The critical point is to extract features based on the physical characteristics. 
Application of Factorial Hidden Markov Model (FHMM) to Non-intrusive Load Monitoring
Published:
Implement the factorial hidden markov chain model (FHMM) to disaggregate loads 
Cognitive Web Application based on IBM Watson API
Embed our identication algorithms to the power system control system to improve human-computer interactive interface on cloud. 
Identifying Overlapping Successive Events Using a Shallow Convolutional Neural Network
Published:
This is the technical road map: 
teaching
Three Minutes Thesis Talk
, , 2019