Research Area

1. Data-driven load profile analysis

Relevant Publications:

H. Kim, K. Ye, D. Lee and N. Lu, "A Contextually Supervised Optimization-Based HVAC Load Disaggregation Methodology," in IEEE Transactions on Smart Grid, vol. 15, no. 4, pp. 3852-3863, July 2024.
H. Kim, M. Gyung Yu, D. Wu and N. Lu, "An Optimization-Based HVAC Load and PV Disaggregation Methodology With Contextual Supervision," in IEEE Transactions on Smart Grid, vol. 16, no. 4, pp. 3457-3460, July 2025.
H. Kim et al., "An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data," 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 2023, pp. 1-5.

Relevant Publications:

H. Kim, Y. Hu, K. Ye and N. Lu, "ViT4LPA: A Vision Transformer for advanced smart meter Load Profile Analysis." Applied Energy 382, 125243, 2025.
Y. Hu, K. Ye, H. Kim and N. Lu, "BERT-PIN: A BERT-Based Framework for Recovering Missing Data Segments in Time-Series Load Profiles," in IEEE Transactions on Industrial Informatics, vol. 20, no. 10, pp. 12241-12251, Oct. 2024.
H. Kim, Y. Hu, K. Ye and N. Lu, "A Novel Vision Transformer based Load Profile Analysis using Load Images as Inputs," 2024 IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, USA, 2024, pp. 1-5.
Y. Hu, H. Kim, K. Ye and N. Lu, "Applying fine-tuned LLMs for reducing data needs in load profile analysis." Applied Energy 377, 124666, 2025.

Relevant Publications:

H. Kim, A. Das, D. Wu, R. Kini, Z. Hou and N. Lu, "Generative modeling for mid-term probabilistic load forecasting based on latent diffusion." Applied Energy 406, 127273, 2026.
H. Kim and D. Lee, "Probabilistic Solar Power Forecasting Based on Bivariate Conditional Solar Irradiation Distributions," in IEEE Transactions on Sustainable Energy, vol. 12, no. 4, pp. 2031-2041, Oct. 2021.

Relevant Publications:

H. Kim, A. Das and D. Wu, "A Neural Optimizer With Decision-Focused Learning for Optimal Energy Storage Operation," in IEEE Transactions on Industrial Informatics, vol. 21, no. 12, pp. 9286-9296, Dec. 2025.
A. Das, H. Kim and D. Wu, "Learning-Based Dispatch for Optimal Energy Storage Operation Considering Degradation Effects," 2025 IEEE Electrical Energy Storage Applications and Technologies Conference (EESAT), Charlotte, NC, USA, 2025, pp. 1-5.