2023
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Ecovisor: A Virtual Energy System for Carbon-Efficient Applications.
Abel Souza, Noman Bashir, Jorge Murillo, Walid Hanafy, Qianlin Liang, David Irwin, and Prashant Shenoy.
To appear at ASPLOS 2023.
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2022
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CarbonCast: Multi-Day Forecasting of Grid Carbon Intensity.
Diptyaroop Maji, Prashant Shenoy, and Ramesh K Sitaraman.
Proceedings of the Ninth ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys).
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2022
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Sustainable Computing--Without the Hot Air.
Noman Bashir, David Irwin, Prashant Shenoy, and Abel Souza.
arXiv preprint arXiv:2207.00081.
[video]
[presentation]
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2022
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Pricing flexibility of shiftable demand in electricity markets.
Lucien Werner, Adam Wierman, and Steven H Low.
Proceedings of the Twelfth ACM International Conference on Future Energy Systems.
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2022
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Online peak-aware energy scheduling with untrusted advice.
Russell Lee, Jessica Maghakian, Mohammad Hajiesmaili, Jian Li, Ramesh Sitaraman, and Zhenhua Liu.
ACM SIGENERGY Energy Informatics Review.
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2022
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DACF: Day-Ahead Carbon Intensity Forecasting of Power Grids Using Machine Learning.
Diptyaroop Maji, Ramesh K Sitaraman, and Prashant Shenoy.
Proceedings of the Thirteenth ACM International Conference on Future Energy Systems.
[video]
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2022
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Competitive bidding strategies for online linear optimization with inventory management constraints.
Russell Lee, Yutao Zhou, Lin Yang, Mohammad Hajiesmaili, and Ramesh Sitaraman.
ACM SIGMETRICS Performance Evaluation Review.
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2022
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FUSEDAR: Adaptive Environment Lighting Reconstruction for Visually Coherent Mobile AR Rendering.
Yiqin Zhao and Tian Guo.
2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).
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2022
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Scalable Reinforcement Learning for Multiagent Networked Systems.
Guannan Qu, Adam Wierman, and Na Li.
Operations Research.
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2022
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Robustness and consistency in linear quadratic control with untrusted predictions.
Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, and Steven Low.
Proceedings of the ACM on Measurement and Analysis of Computing Systems.
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2022
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Online optimization with feedback delay and nonlinear switching cost.
Weici Pan, Guanya Shi, Yiheng Lin, and Adam Wierman.
Proceedings of the ACM on Measurement and Analysis of Computing Systems.
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2021
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Perturbation-based regret analysis of predictive control in linear time varying systems.
Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, and Adam Wierman.
Advances in Neural Information Processing Systems.
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2021
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Pareto-optimal learning-augmented algorithms for online conversion problems.
Bo Sun, Russell Lee, Mohammad Hajiesmaili, Adam Wierman, and Danny Tsang.
Advances in Neural Information Processing Systems.
[presentation]
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2021
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Multi-objective Optimization by Learning Space Partitions.
Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, and Yuandong Tian.
arXiv preprint arXiv:2110.03173.
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2021
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Enabling Sustainable Clouds: The Case for Virtualizing the Energy System.
Noman Bashir, Tian Guo, Mohammad Hajiesmaili, David Irwin, Prashant Shenoy, Ramesh Sitaraman, Abel Souza, and Adam Wierman.
Proceedings of the ACM Symposium on Cloud Computing.
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