Milan Jain

Pacific Northwest National Laboratory
PO Box 999
Richland, WA 99352
(509) 371-7218
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PNNL Publications

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

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

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

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

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