Posts

[2022/03] Our two new patents on load modeling and analytics, entitled "Submodular Load Clustering with Robust Principal Component Analysis" and "Bayesian Estimation Based Parameter Estimation for Composite Load Model", has been granted by USPTO.

Last updated on Mar 15, 2022 1 min read

[2021/12] Our new paper on power system operation, entitled "A Review of Deep Reinforcement Learning Applications in Power System Parameter Estimation", has been accepted by 2021 PowerCon.

Last updated on Mar 15, 2022 1 min read

[2021/6] Our two new papers on load modeling, entitled "Tensor-Based Parameter Reduction of Dynamic Load Models with Variable Frequency Drive", has been accepted by IEEE Transactions on Power Systems, and "A Novel Spiking Deep Neural Network based Unsupervised Learning for Non-intrusive Load Monitoring in Smart Grid" has been accepted by MPCE.

Last updated on Mar 15, 2022 1 min read

[2020/11] Our new paper on load analysis, entitled "Real-time Energy Disaggregation at Substations with Behind-the-Meter Solar Generation", has been accepted by IEEE Transactions on Power Systems

Last updated on Nov 18, 2020 1 min read

[2020/10] Our new paper on load modeling, entitled "Imitation and Transfer Q-learning-Based Parameter Identification for Composite Load Modeling", has been accepted by IEEE Transactions on Smart Grid

Last updated on Oct 6, 2020 1 min read

[2020/9] The paper “Sizing battery storage for islanded microgrid systems to enhance robustness against attacks on energy sources” has been awarded as the 2019 Best Paper of Journal of Modern Power Systems and Clean Energy (MPCE)

Last updated on Sep 9, 2020 1 min read

[2020/8] Yishen presented the work “Two-stage WECC composite load modeling: a deep reinforcement learning approach” at the panel on “Observability and controllability of power distribution system in big data era” at the IEEE PES General Meeting (invited by Dr. Yi Wang)

Last updated on Sep 9, 2020 1 min read

[2020/7] Our new paper on oscillation, entitled "Data-Driven Low Frequency Oscillation Mode Identification and Preventive Control Strategy Based on Gradient Descent", has been accepted by Electric Power System Research

Last updated on Sep 9, 2020 1 min read

[2020/7] Our new paper on load analytics, entitled "Self-organizing Probability Neural Network Based Intelligent Non-Intrusive Load Monitoring with Applications to Low-cost Residential Measuring Devices", has been accepted by Transactions of the Institute of Measurement and Control

Last updated on Sep 9, 2020 1 min read

[2020/5] Our new paper on load modeling, entitled "Evaluating Load Models andTheir Impacts on Power Transfer Limits", to apear in IEEE ICCA 2020

Last updated on Sep 9, 2020 1 min read