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, 15(4), 3852–3863. https://doi.org/10.1109/TSG.2024.3367301
A Novel Power-Band Based Data Segmentation Method for Enhancing Meter Phase and Transformer-Meter Pairing Identification
Lee, H. P., Rehm, P. J., Makdad, M., Miller, E., & Lu, N. (2024), IEEE Transactions on Power Delivery. https://doi.org/10.1109/TPWRD.2024.3402263
An iterative bidirectional gradient boosting approach for CVR baseline estimation
Lee, H. P., Li, Y., Song, L., Wu, D., & Lu, N. (2024), APPLIED ENERGY, 369. https://doi.org/10.1016/j.apenergy.2024.123456
BERT-PIN: A BERT-Based Framework for Recovering Missing Data Segments in Time-Series Load Profiles
Hu, Y., Ye, K., Kim, H., & Lu, N. (2024, July 1), IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, Vol. 7. https://doi.org/10.1109/TII.2024.3417272
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 & ENERGY MAGAZINE, 22(1), 35–42. 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, 15(2), 2251–2260. 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, 15(2), 2309–2320. https://doi.org/10.1109/TSG.2023.3302192
Photovoltaic Analysis and Response Support (PARS) Platform for Solar Situational Awareness and Resiliency Services
Lu, N. (2024). , . https://doi.org/10.2172/2349508
Under-Frequency Load Shedding for Power Reserve Management in Islanded Microgrids
Xu, B., Paduani, V. D., Xiao, Q., Song, L., Lubkeman, D., & Lu, N. (2024), IEEE TRANSACTIONS ON SMART GRID, 15(5), 4662–4673. https://doi.org/10.1109/TSG.2024.3393426
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

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Ning Lu