{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T11:54:00Z","timestamp":1781610840532,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":54,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T00:00:00Z","timestamp":1782086400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2045641"],"award-info":[{"award-number":["2045641"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2325956"],"award-info":[{"award-number":["2325956"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2512128"],"award-info":[{"award-number":["2512128"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2533814"],"award-info":[{"award-number":["2533814"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"U.S. Department of Energy, Office of Science","doi-asserted-by":"publisher","award":["DE-SC0024386"],"award-info":[{"award-number":["DE-SC0024386"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,22]]},"DOI":"10.1145\/3744255.3798123","type":"proceedings-article","created":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T10:13:49Z","timestamp":1781604829000},"page":"120-138","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Signal-Aware Workload Shifting Algorithms with Uncertainty-Quantified Predictors"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-7110-4627","authenticated-orcid":false,"given":"Ezra","family":"Johnson","sequence":"first","affiliation":[{"name":"Computer Science, California Institute of Technology, Pasadena, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7774-9939","authenticated-orcid":false,"given":"Adam","family":"Lechowicz","sequence":"additional","affiliation":[{"name":"Computer Science, University of Massachusetts Amherst, Amherst, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9278-2254","authenticated-orcid":false,"given":"Mohammad","family":"Hajiesmaili","sequence":"additional","affiliation":[{"name":"Computer Science, University of Massachusetts Amherst, Amherst, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,22]]},"reference":[{"key":"e_1_3_3_2_2_2","unstructured":"Saud Alghumayjan Ming Yi and Bolun Xu. 2024. Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage. arxiv:https:\/\/arXiv.org\/abs\/2412.07075\u00a0[math.OC] https:\/\/arxiv.org\/abs\/2412.07075"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"crossref","unstructured":"Nima Amjady and Meisam Hemmati. 2006. Energy price forecasting-problems and proposals for such predictions. IEEE Power and Energy Magazine 4 2 (2006) 20\u201329.","DOI":"10.1109\/MPAE.2006.1597990"},{"key":"e_1_3_3_2_4_2","series-title":"Proceedings of Machine Learning Research","first-page":"582","volume-title":"Proceedings of the 39th International Conference on Machine Learning","volume":"162","author":"Anand Keerti","year":"2022","unstructured":"Keerti Anand, Rong Ge, Amit Kumar, and Debmalya Panigrahi. 2022. Online Algorithms with Multiple Predictions. In Proceedings of the 39th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0162), Kamalika Chaudhuri, Stefanie Jegelka, Le\u00a0Song, Csaba Szepesvari, Gang Niu, and Sivan Sabato (Eds.). PMLR, 582\u2013598. https:\/\/proceedings.mlr.press\/v162\/anand22a.html"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3524971"},{"key":"e_1_3_3_2_6_2","unstructured":"Antonios Antoniadis Christian Coester Marek Eli\u00e1\u0161 Adam Polak and Bertrand Simon. 2023. Mixing predictions for online metric algorithms. arxiv:https:\/\/arXiv.org\/abs\/2304.01781\u00a0[cs.LG] https:\/\/arxiv.org\/abs\/2304.01781"},{"key":"e_1_3_3_2_7_2","unstructured":"Fran\u00e7ois Bachoc Tommaso\u00a0R Cesari and S\u00e9bastien Gerchinovitz. 2021. The Sample Complexities of Global Lipschitz Optimization. (March 2021) 24 p.\u00a0pages. https:\/\/hal.science\/hal-03129721 working paper or preprint."},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"crossref","unstructured":"Dimitris Bertsimas David\u00a0B Brown and Constantine Caramanis. 2011. Theory and applications of robust optimization. SIAM review 53 3 (2011) 464\u2013501.","DOI":"10.1137\/080734510"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","unstructured":"Allan Borodin Nathan Linial and Michael\u00a0E. Saks. 1992. An Optimal On-Line Algorithm for Metrical Task System. J. ACM 39 4 (Oct 1992) 745\u2013763. 10.1145\/146585.146588","DOI":"10.1145\/146585.146588"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1145\/3632775.3661942"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3600100.3626346"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","unstructured":"Phuthipong Bovornkeeratiroj Walid\u00a0A. Hanafy David Irwin and Prashant Shenoy. 2025. GreenThrift: Optimizing Carbon and Cost for Flexible Residential Loads. ACM J. Comput. Sustain. Soc. 3 2 Article 14 (May 2025) 21\u00a0pages. 10.1145\/3724408","DOI":"10.1145\/3724408"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm52983.2022.9960988"},{"key":"e_1_3_3_2_14_2","unstructured":"Woo-Hyung Cho Shane Henderson and David Shmoys. 2022. Scheduling with Predictions. arxiv:https:\/\/arXiv.org\/abs\/2212.10433\u00a0[cs.DS] https:\/\/arxiv.org\/abs\/2212.10433"},{"key":"e_1_3_3_2_15_2","first-page":"867","volume-title":"Proceedings of the 35th Conference on Learning Theory","volume":"178","author":"Christianson Nicolas","year":"2022","unstructured":"Nicolas Christianson, Tinashe Handina, and Adam Wierman. 2022. Chasing Convex Bodies and Functions with Black-Box Advice. In Proceedings of the 35th Conference on Learning Theory, Vol.\u00a0178. PMLR, London, United Kingdom, 867\u2013908."},{"key":"e_1_3_3_2_16_2","first-page":"9377","volume-title":"International Conference on Artificial Intelligence and Statistics","author":"Christianson Nicolas","year":"2023","unstructured":"Nicolas Christianson, Junxuan Shen, and Adam Wierman. 2023. Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems. In International Conference on Artificial Intelligence and Statistics. PMLR, Valencia, Spain, 9377\u20139399."},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Robert\u00a0M Corless Gaston\u00a0H Gonnet David\u00a0EG Hare David\u00a0J Jeffrey and Donald\u00a0E Knuth. 1996. On the Lambert W function. Advances in Computational Mathematics 5 (1996) 329\u2013359.","DOI":"10.1007\/BF02124750"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Frank\u00a0E. Curtis Tim Mitchell and Michael\u00a0L. Overton. 2017. A BFGS-SQP method for nonsmooth nonconvex constrained optimization and its evaluation using relative minimization profiles. Optimization Methods and Software 32 1 (2017) 148\u2013181.","DOI":"10.1080\/10556788.2016.1208749"},{"key":"e_1_3_3_2_19_2","volume-title":"Forty-second International Conference on Machine Learning","author":"Daneshvaramoli Mohammadreza","year":"2025","unstructured":"Mohammadreza Daneshvaramoli, Helia Karisani, Adam Lechowicz, Bo Sun, Cameron Musco, and Mohammad Hajiesmaili. 2025. Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems. In Forty-second International Conference on Machine Learning. https:\/\/openreview.net\/forum?id=AhumZOmTDf"},{"key":"e_1_3_3_2_20_2","unstructured":"Steven Diamond and Stephen Boyd. 2016. CVXPY: A Python-embedded modeling language for convex optimization. Journal of Machine Learning Research 17 83 (2016) 1\u20135."},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533234"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","unstructured":"Ran El-Yaniv Amos Fiat Richard\u00a0M. Karp and Gordon Turpin. 2001. Optimal Search and One-Way Trading Online Algorithms. Algorithmica 30 1 (May 2001) 101\u2013139. 10.1007\/s00453-001-0003-0","DOI":"10.1007\/s00453-001-0003-0"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"crossref","unstructured":"Virginie Gabrel C\u00e9cile Murat and Aur\u00e9lie Thiele. 2014. Recent advances in robust optimization: An overview. European journal of operational research 235 3 (2014) 471\u2013483.","DOI":"10.1016\/j.ejor.2013.09.036"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Bram\u00a0L Gorissen \u0130hsan Yan\u0131ko\u011flu and Dick Den\u00a0Hertog. 2015. A practical guide to robust optimization. Omega 53 (2015) 124\u2013137.","DOI":"10.1016\/j.omega.2014.12.006"},{"key":"e_1_3_3_2_25_2","unstructured":"Gurobi Optimization LLC. 2024. Gurobi Optimizer Reference Manual. https:\/\/www.gurobi.com"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/2934328.2934329"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"crossref","unstructured":"Walid\u00a0A. Hanafy Qianlin Liang Noman Bashir David Irwin and Prashant Shenoy. 2023. CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency. Proceedings of the ACM on Measurement and Analysis of Computing Systems 7 3 (Dec 2023). arxiv:https:\/\/arXiv.org\/abs\/2302.08681\u00a0[cs.DC]","DOI":"10.1145\/3626788"},{"key":"e_1_3_3_2_28_2","unstructured":"Young\u00a0Geun Kim Udit Gupta Andrew McCrabb Yonglak Son Valeria Bertacco David Brooks and Carole-Jean Wu. 2023. GreenScale: Carbon-Aware Systems for Edge Computing. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2304.00404 (2023)."},{"key":"e_1_3_3_2_29_2","volume-title":"Advances in Neural Information Processing Systems","author":"Kumar Ravi","year":"2018","unstructured":"Ravi Kumar, Manish Purohit, and Zoya Svitkina. 2018. Improving Online Algorithms via ML Predictions. In Advances in Neural Information Processing Systems, S.\u00a0Bengio, H.\u00a0Wallach, H.\u00a0Larochelle, K.\u00a0Grauman, N.\u00a0Cesa-Bianchi, and R.\u00a0Garnett (Eds.), Vol.\u00a031. Curran Associates, Inc."},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/ISGT51731.2023.10066358"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1145\/3652963.3655074"},{"key":"e_1_3_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1145\/3632775.3639590"},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"publisher","unstructured":"Amy Li Sihang Liu and Yi Ding. 2025. Uncertainty-Aware Decarbonization for Datacenters. SIGENERGY Energy Inform. Rev. 4 5 (April 2025) 141\u2013147. 10.1145\/3727200.3727221","DOI":"10.1145\/3727200.3727221"},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"publisher","unstructured":"Pengfei Li Jianyi Yang Adam Wierman and Shaolei Ren. 2024. Learning-Augmented Decentralized Online Convex Optimization in Networks. Proceedings of the ACM on Measurement and Analysis of Computing Systems 8 3 (Dec. 2024) 1\u201342. 10.1145\/3700420","DOI":"10.1145\/3700420"},{"key":"e_1_3_3_2_35_2","unstructured":"Buyun Liang Tim Mitchell and Ju Sun. 2022. NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning. (2022). arxiv:https:\/\/arXiv.org\/abs\/2210.00973\u00a0[cs.LG]"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"publisher","unstructured":"Julian Lorenz Konstantinos Panagiotou and Angelika Steger. 2008. Optimal Algorithms for k-Search with Application in\u00a0Option Pricing. Algorithmica 55 2 (Aug. 2008) 311\u2013328. 10.1007\/s00453-008-9217-8","DOI":"10.1007\/s00453-008-9217-8"},{"key":"e_1_3_3_2_37_2","series-title":"Proceedings of Machine Learning Research","first-page":"3296","volume-title":"Proceedings of the 35th International Conference on Machine Learning","volume":"80","author":"Lykouris Thodoris","year":"2018","unstructured":"Thodoris Lykouris and Sergei Vassilvtiskii. 2018. Competitive Caching with Machine Learned Advice. In Proceedings of the 35th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a080), Jennifer Dy and Andreas Krause (Eds.). PMLR, 3296\u20133305. https:\/\/proceedings.mlr.press\/v80\/lykouris18a.html"},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/3563357.3564079"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.5555\/3305890.3305920"},{"key":"e_1_3_3_2_40_2","unstructured":"Electricity Maps. 2024. Electricity Map. https:\/\/www.electricitymap.org\/map."},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"crossref","unstructured":"Harsh Patel and Manan Shah. 2021. Energy consumption and price forecasting through data-driven analysis methods: A review. SN Computer Science 2 4 (2021) 315.","DOI":"10.1007\/s42979-021-00698-2"},{"key":"e_1_3_3_2_42_2","doi-asserted-by":"crossref","unstructured":"NM Pindoriya SN Singh and SK Singh. 2008. An adaptive wavelet neural network-based energy price forecasting in electricity markets. IEEE Transactions On power systems 23 3 (2008) 1423\u20131432.","DOI":"10.1109\/TPWRS.2008.922251"},{"key":"e_1_3_3_2_43_2","unstructured":"Ana Radovanovic Ross Koningstein Ian Schneider Bokan Chen Alexandre Duarte Binz Roy Diyue Xiao Maya Haridasan Patrick Hung Nick Care et\u00a0al. 2022. Carbon-Aware Computing for Datacenters. IEEE Transactions on Power Systems (2022)."},{"key":"e_1_3_3_2_44_2","unstructured":"Judy\u00a0Hanwen Shen Ellen Vitercik and Anders Wikum. 2025. Algorithms with Calibrated Machine Learning Predictions. arxiv:https:\/\/arXiv.org\/abs\/2502.02861\u00a0[stat.ML] https:\/\/arxiv.org\/abs\/2502.02861"},{"key":"e_1_3_3_2_45_2","doi-asserted-by":"publisher","DOI":"10.1145\/3627703.3650079"},{"key":"e_1_3_3_2_46_2","series-title":"(ICML\u201924)","volume-title":"Proceedings of the 41st International Conference on Machine Learning","author":"Sun Bo","year":"2024","unstructured":"Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, and Raouf Boutaba. 2024. Online algorithms with uncertainty-quantified predictions. In Proceedings of the 41st International Conference on Machine Learning (Vienna, Austria) (ICML\u201924). JMLR.org, Article 1915, 22\u00a0pages."},{"key":"e_1_3_3_2_47_2","volume-title":"Advances in Neural Information Processing Systems","author":"Sun Bo","year":"2021","unstructured":"Bo Sun, Russell Lee, Mohammad Hajiesmaili, Adam Wierman, and Danny Tsang. 2021. Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems. In Advances in Neural Information Processing Systems, M.\u00a0Ranzato, A.\u00a0Beygelzimer, Y.\u00a0Dauphin, P.S. Liang, and J.\u00a0Wortman Vaughan (Eds.), Vol.\u00a034."},{"key":"e_1_3_3_2_48_2","doi-asserted-by":"crossref","unstructured":"Bo Sun Ali Zeynali Tongxin Li Mohammad Hajiesmaili Adam Wierman and Danny\u00a0H.K. Tsang. 2021. Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. Proceedings of the ACM on Measurement and Analysis of Computing Systems 4 3 Article 51 (June 2021) 32\u00a0pages.","DOI":"10.1145\/3410220.3456271"},{"key":"e_1_3_3_2_49_2","doi-asserted-by":"publisher","unstructured":"Xiaowei Wang and Yue Chen. 2025. Carbon-Aware Quantification of Real-Time Aggregate Power Flexibility of Electric Vehicles. IEEE Transactions on Smart Grid (2025) 1\u20131. 10.1109\/TSG.2025.3595577","DOI":"10.1109\/TSG.2025.3595577"},{"key":"e_1_3_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1145\/3464298.3493399"},{"key":"e_1_3_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.1145\/3679240.3734630"},{"key":"e_1_3_3_2_52_2","doi-asserted-by":"crossref","unstructured":"Yijie Yang Jian Shi Dan Wang Chenye Wu and Zhu Han. 2025. Carbon-aware scheduling of thermostatically controlled loads: A bilevel DRCC approach. IEEE Transactions on Smart Grid (2025).","DOI":"10.1109\/TSG.2024.3525134"},{"key":"e_1_3_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.1145\/3575813.3597346"},{"key":"e_1_3_3_2_54_2","doi-asserted-by":"publisher","unstructured":"Shizhen Zhao Xiaojun Lin and Minghua Chen. 2017. Robust Online Algorithms for Peak-Minimizing EV Charging Under Multistage Uncertainty. IEEE Trans. Automat. Control 62 11 (2017) 5739\u20135754. 10.1109\/TAC.2017.2699290","DOI":"10.1109\/TAC.2017.2699290"},{"key":"e_1_3_3_2_55_2","first-page":"566","volume-title":"Lecture Notes in Computer Science","author":"Zhou Yunhong","year":"2008","unstructured":"Yunhong Zhou, Deeparnab Chakrabarty, and Rajan Lukose. 2008. Budget Constrained Bidding in Keyword Auctions and Online Knapsack Problems. In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 566\u2013576."}],"event":{"name":"E-Energy '26: The 17th ACM International Conference on Future and Sustainable Energy Systems","location":"Banff , Alberta , Canada","acronym":"E-Energy '26","sponsor":["SIGENERGY ACM Special Interest Group on Energy Systems and Informatics"]},"container-title":["Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems"],"original-title":[],"deposited":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T11:17:47Z","timestamp":1781608667000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3744255.3798123"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,22]]},"references-count":54,"alternative-id":["10.1145\/3744255.3798123","10.1145\/3744255"],"URL":"https:\/\/doi.org\/10.1145\/3744255.3798123","relation":{},"subject":[],"published":{"date-parts":[[2026,6,22]]},"assertion":[{"value":"2026-06-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}