Publications
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- Moy, K., Lee, S., Harris, S., & Onori, S. (2021). Design and validation of synthetic duty cycles for grid energy storage dispatch using lithium-ion batteries. Advances in Applied Energy, 4.
- Moy, K., Lee, S., & Onori, S. . (2021). Characterization and Synthesis of Duty Cycles for Battery Energy Storage Used in Peak Shaving Dispatch. ASME Letters Dyn. Sys. Control.
- Graf, C., Quaglia, F., & Wolak, F. (2021). (Machine) Learning from the COVID-19 Lockdown about Electricity Market Performance with a Large Share of Renewables. Journal of Environmental Economics and Management, 105.
- Moy, K., Tae, C., Wang, Y., Henri, G., Bambos, N., & Rajagopal, R. (2021). An OpenAI-OpenDSS framework for reinforcement learning on distribution-level microgrids. 2021 IEEE Power & Energy Society General Meeting (PESGM), 1-5. https://doi.org/10.1109/PESGM46819.2021.9638106
- Luke, J., Salazar, M., Rajagopal, R., & Pavone, M. (2021). Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 3340-3347. https://doi.org/10.1109/ITSC48978.2021.9565089
- Bistritz, I., & Bambos, N. (2021). Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games. Proceedings of the 38th International Conference on Machine Learning.
- Powell, S., Kara, E., Cezar, G., Kiliccote, S., & Rajagopal, R. (2020). Controlled workplace charging of electric vehicles: The impact of rate schedules on transformer aging. Applied Energy, 276.
- Buechler, E., Powell, S., Sun, T., Bolorinos, J., Zanocco, C., Boudete, H., Astier, N., Flora, J., & Rajagopal, R. (2020). Power and the Pandemic: Exploring Global Changes in Electricity Demand During COVID-19. arXiv.
- Gao, W., & Gorinevsky, D. (2020). Probabilistic Modeling for Optimization of Resource Mix with Variable Generation and Storage. IEEE Xplore.
- Bistritz, I., Klein, M., Bambos, N., Maimon, O., & Rajagopal, R. (2020). Distributed Scheduling of Charging for On-Demand Electric Vehicle Fleets. IFAC-PapersOnLine, 53(4). https://doi.org/10.1016/j.ifacol.2021.04.043
- Gao, W. ., Tayal, D., & Gorinevsky , D. . (2019). Probabilistic Planning of Minigrid with Renewables and Storage in Western Australia. IEEE Power & Energy Society General Meeting.
- Sun, Y. ., Venugopal , V. ., & Brandt, A. (2019). Short-term solar power forecast with deep learning: Exploring optimal input and output configuration. Solar Energy.
- de Chalendar , J. ., & Benson, S. (2019). Why 100% Renewable Energy Is Not Enough. Joule .
- Yu, J., Weng, Y., & Rajagopal, R. (2019). PaToPaEM: A Data-Driven Parameter and Topology Joint Estimation Framework for Time-Varying System in Distribution Grids. IEEE Xplore.
- Yu, J., Weng, Y., & Rajagopal, R. (2019). PaToPaEM: A Data-Driven Parameter and Topology Joint Estimation Framework for Time-Varying System in Distribution Grids. IEEE Transactions on Power Systems.
- Bistritz, I., Ward, A., Zhou, Z. ., & Bambos, N. (2019). Smart Greedy Distributed Allocation in Microgrids. IEEE International Conference on Communications, Empowering Intelligent Communications // Shanghai, China.
- Comello, S., & Reichelstein, S. (2019). The Emergence of Cost Effective Battery Storage. Nature Communications.
- Zhu, G., Angell, M., Pan, C.-J., Lin, M.-C., Chen, H., Huang, C.-J., Lin, J., Achazi, A., Kaghazchi, P., Hwang, B.-J., & Dai, H. (2019). Rechargeable aluminum batteries: effects of cations in ionic liquid electrolytes. The Royal Society of Chemistry.
- Liao, Y., Weng, Y., Tan, C.-W., & Rajagopal, R. (2019). Urban MV and LV Distribution Grid Topology Estimation via Group Lasso. IEEE Transactions on Power Systems.
- de Chalendar, J. ., Glynn, P., & Benson, S. (2019). City-scale Decarbonization Experiments with Integrated Energy Systems. Energy & Environmental Science, (5).