Ning Lu

Electrical and Computer Engineering

From 2003 to 2012, Ning Lu was a senior research engineer with Pacific Northwest National Laboratory. She was a substation design engineer with the Shenyang Electric Power Survey and Design Institute from 1993 to 1998. She has conducted and managed research projects in modeling and analysis of power system load behaviors, wide area energy storage management systems, renewable integration, climate impact on power grids, and smart grid modeling and diagnosis. Dr. Lu is a Fellow of the Institute of Electrical and Electronics Engineers. She has authored or co-authored more than 60 publications, including journal articles, conference proceedings, and technical reports.

Research Interests

  • Load modeling and control
  • Wide-area energy storage
  • Renewable integration
  • Predictive defense model of the smart grid
  • Climate change impacts on power grids

Education

DegreeProgramSchoolYear
Ph.D.Doctor of Philosophy in Electric Power EngineeringRensselaer Polytechnic Institute2002
MSEPEMaster of Science in Electric Power EngineeringRensselaer Polytechnic Institute1999
BSEEBachelor of Science in Electrical EngineeringHarbin Institute of Technology1993

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Publications

A Contextually Supervised Optimization-Based HVAC Load Disaggregation Methodology
Kim, H., Ye, K., Lee, D., & Lu, N. (2024), IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2024.3367301
Adaptive cold-load pickup considerations in 2-stage microgrid unit commitment for enhancing microgrid resilience
Hu, R., Shirsat, A., Muthukaruppan, V., Li, Y., Zhang, S., Tang, W., … Lu, N. (2024), APPLIED ENERGY, 356. https://doi.org/10.1016/j.apenergy.2023.122424
Digital Twins for Microgrids: Opening a New Dimension in the Power System
Wu, Y., Guerrero, J. M., Wu, Y., Bazmohammadi, N., Vasquez, J. C., Cabrera, A. J., & Lu, N. (2024), IEEE Power and Energy Magazine. https://doi.org/10.1109/MPE.2023.3324296
Load Profile Inpainting for Missing Load Data Restoration and Baseline Estimation
Li, Y., Song, L., Hu, Y., Lee, H., Wu, D., Rehm, P. J., & Lu, N. (2024), IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2023.3293188
MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations
Hu, Y., Li, Y., Song, L., Lee, H. P., Rehm, P. J., Makdad, M., … Lu, N. (2024), IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2023.3302192
A Modified Sequence-to-point HVAC Load Disaggregation Algorithm
Ye, K., Kim, H., Hu, Y., Lu, N., Wu, D., & Rehm, P. J. (2023), 2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM. https://doi.org/10.1109/PESGM52003.2023.10252553
A Secure and Adaptive Hierarchical Multi-Timescale Framework for Resilient Load Restoration Using a Community Microgrid
Shirsat, A., Muthukaruppan, V., Hu, R., Paduani, V. D., Xu, B., Song, L., … Tang, W. (2023), IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 14(2), 1057–1075. https://doi.org/10.1109/TSTE.2023.3251099
A TCN-Based Hybrid Forecasting Framework for Hours-Ahead Utility-Scale PV Forecasting
Li, Y., Song, L., Zhang, S., Kraus, L., Adcox, T., Willardson, R., … Lu, N. (2023), IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2023.3236992
Adopting Dynamic VAR Compensators to Mitigate PV Impacts on Unbalanced Distribution Systems
Lee, H. P., Dsouza, K., Chen, K., Lu, N., & Baran, M. E. (2023), IEEE ACCESS, 11, 101514–101524. https://doi.org/10.1109/ACCESS.2023.3315601
An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data
Kim, H., Ye, K., Lee, H. P., Hu, R., Lu, N., Wu, D., & Rehm, P. J. (2023), 2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT. https://doi.org/10.1109/ISGT51731.2023.10066402

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Ning Lu