Milan Jain
Pacific Northwest National Laboratory
PO Box 999
Richland, WA 99352
(509) 371-7218
Send Email
PNNL Publications
2025
- Datta S., Z. Hou, M. Jain, and S. Naqvi. 2025. "Artificial Intelligence and Machine Learning Applications in Modern Power Systems." In Smart Cyber-Physical Power Systems: Solutions from Emerging Technologies, edited by A. Parizad, H.R. Baghaee and S. Rahman. Piscataway, New Jersey:IEEE. PNNL-SA-193473. doi:10.1002/9781394334599.ch2
2024
- Mohankumar N., M. Jain, H. Wan, S. Ganguli, K.D. Wilson, and D.M. Anderson. 2024. "Principal Component Regression to Study the Impact of Economic Factors on Disadvantaged Communities." Journal of Social Computing 5, no. 4:329-343. PNNL-SA-188926. doi:10.23919/JSC.2024.0026
- Wan H., S. Ganguli, N. Mohankumar, M. Jain, K.D. Wilson, and D.M. Anderson. 2024. "Projected income data under different shared socioeconomic pathways for Washington state." Scientific Data 11. PNNL-SA-189062. doi:10.1038/s41597-023-02906-5
2023
- Ghosh S., M. Jain, H. Lee, and K.J. Roche. 2023. Proxy Applications for Converged Workloads: DMC LDRD Initiative. PNNL-34841. Richland, WA: Pacific Northwest National Laboratory. Proxy Applications for Converged Workloads: DMC LDRD Initiative
- Jain M., X. Sun, S. Datta, and A. Somani. 2023. "A Machine Learning Framework to Deconstruct the Primary Drivers for Electricity Market Price Events." In IEEE Power & Energy Society General Meeting (PESGM 2023), July 16-20, 2023, Orlando, FL, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-179891. doi:10.1109/PESGM52003.2023.10252752
- Wan H., S. Ganguli, M. Jain, D.M. Anderson, N. Mohankumar, and K.D. Wilson. 2023. "Areal interpolation of population projections consistent with different SSPs from 1-km resolution to block level based on USA Structures dataset." Computers, Environment and Urban Systems 105. PNNL-SA-182505. doi:10.1016/j.compenvurbsys.2023.102024
2022
- Lee H., M. Jain, and S. Ghosh. 2022. "Sparse Deep Neural Network Inference using different Programming Models." In IEEE High Performance Extreme Computing Conference (HPEC 2022), September 19-23, 2022, Waltham, MA, 1-6. Piscataway, New Jersey:IEEE. PNNL-SA-175380. doi:10.1109/HPEC55821.2022.9926362
2021
- Jain M., K. Gupta, A. Visweswara Sathanur, V. Chandan, and M. Halappanavar. 2021. "Transfer-Learnt Energy Models for Predicting Electricity Consumption in Buildings with Limited and Sparse Field Data." In American Control Conference (ACC 2021), May 25-28, 2021, New Orleans, LA, 2887-2894. Piscataway, New Jersey:IEEE. PNNL-SA-156692. doi:10.23919/ACC50511.2021.9483228
- Jain M., S. Kundu, A. Bhattacharya, S. Huang, V. Chandan, N. Radhakrishnan, and V.A. Adetola, et al. 2021. "Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads." In Proceedings of the American Control Conference (ACC 2021), May 25-28, 2021, Virtual, New Orleans, LA, 2021, 4171 - 4177. Piscataway, New Jersey:IEEE. PNNL-SA-156937. doi:10.23919/ACC50511.2021.9482639
2020
- Jain M., K. Gupta, A. Visweswara Sathanur, V. Chandan, and M. Halappanavar. 2020. Exploration of Domain Aware Machine Learning for Grid Analytics: Transfer-Learnt Energy Models to Assist Buildings Control with Sparse Field Data. PNNL-30655. Richland, WA: Pacific Northwest National Laboratory. Exploration of Domain Aware Machine Learning for Grid Analytics: Transfer-Learnt Energy Models to Assist Buildings Control with Sparse Field Data