Ning Lu
Electrical and Computer Engineering
- Phone: 919.513.7529
- Email: nlu2@ncsu.edu
- Office: 100-29 Keystone Science Center
- Website: https://sites.google.com/a/ncsu.edu/ninglu/
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
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Doctor of Philosophy in Electric Power Engineering | Rensselaer Polytechnic Institute | 2002 |
| MSEPE | Master of Science in Electric Power Engineering | Rensselaer Polytechnic Institute | 1999 |
| BSEE | Bachelor of Science in Electrical Engineering | Harbin Institute of Technology | 1993 |
Discover more about Ning Lu
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
- Applying fine-tuned LLMs for reducing data needs in load profile analysis
- Hu, Y., Kim, H., Ye, K., & Lu, N. (2025), APPLIED ENERGY, 377. https://doi.org/10.1016/j.apenergy.2024.124666
- 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
- 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
- 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
