{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T13:52:40Z","timestamp":1726408360295},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,22]],"date-time":"2022-06-22T00:00:00Z","timestamp":1655856000000},"content-version":"vor","delay-in-days":365,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"US Department of Energy","award":["DE-EE0009341"]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1908298, NGSDI-2105494, CAREER-2045641, CNS-1717588, CNS-1730128, CNS-1919752, CNS-1763617"],"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":[[2021,6,22]]},"DOI":"10.1145\/3447555.3464860","type":"proceedings-article","created":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T04:49:35Z","timestamp":1624423775000},"update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Online Peak-Aware Energy Scheduling with Untrusted Advice"],"prefix":"10.1145","author":[{"given":"Russell","family":"Lee","sequence":"first","affiliation":[{"name":"UMass Amherst"}]},{"given":"Jessica","family":"Maghakian","sequence":"additional","affiliation":[{"name":"Stony Brook University"}]},{"given":"Mohammad","family":"Hajiesmaili","sequence":"additional","affiliation":[{"name":"UMass Amherst"}]},{"given":"Jian","family":"Li","sequence":"additional","affiliation":[{"name":"Binghamton University-SUNY"}]},{"given":"Ramesh","family":"Sitaraman","sequence":"additional","affiliation":[{"name":"UMass Amherst and Akamai Tech"}]},{"given":"Zhenhua","family":"Liu","sequence":"additional","affiliation":[{"name":"Stony Brook University"}]}],"member":"320","published-online":{"date-parts":[[2021,6,22]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Generator Permit Indicates Microsoft Plans Big Quincy Data Center Expansion.","year":"2021","unstructured":"2018. Generator Permit Indicates Microsoft Plans Big Quincy Data Center Expansion. available at https:\/\/www.datacenterknowledge.com\/microsoft\/generator-permit-indicates-microsoft-plans-big-quincy-data-center-expansion, accessed May 2021 . 2018. Generator Permit Indicates Microsoft Plans Big Quincy Data Center Expansion. available at https:\/\/www.datacenterknowledge.com\/microsoft\/generator-permit-indicates-microsoft-plans-big-quincy-data-center-expansion, accessed May 2021."},{"key":"e_1_3_2_1_2_1","volume-title":"Global Data Center Generator Market to Generate Revenues of $5 Billion During 2018-2023.","year":"2021","unstructured":"2019. Global Data Center Generator Market to Generate Revenues of $5 Billion During 2018-2023. available at https:\/\/www.prnewswire.com\/news-releases\/global-data-center-generator-market-to-generate-revenues-of-5-billion-during-20182023-market-research-by-arizton-300789765.html, accessed May 2021 . 2019. Global Data Center Generator Market to Generate Revenues of $5 Billion During 2018-2023. available at https:\/\/www.prnewswire.com\/news-releases\/global-data-center-generator-market-to-generate-revenues-of-5-billion-during-20182023-market-research-by-arizton-300789765.html, accessed May 2021."},{"key":"e_1_3_2_1_3_1","unstructured":"2020. Eastern and Western Data Sets. available at https:\/\/www.nrel.gov\/grid\/eastern-western-wind-data.html. 2020. Eastern and Western Data Sets. available at https:\/\/www.nrel.gov\/grid\/eastern-western-wind-data.html."},{"key":"e_1_3_2_1_4_1","volume-title":"Online Computation with Untrusted Advice. arXiv preprint arXiv:1905.05655","author":"Angelopoulos Spyros","year":"2019","unstructured":"Spyros Angelopoulos , Christoph D\u00fcrr , Shendan Jin , Shahin Kamali , and Marc Renault . 2019. Online Computation with Untrusted Advice. arXiv preprint arXiv:1905.05655 ( 2019 ). Spyros Angelopoulos, Christoph D\u00fcrr, Shendan Jin, Shahin Kamali, and Marc Renault. 2019. Online Computation with Untrusted Advice. arXiv preprint arXiv:1905.05655 (2019)."},{"key":"e_1_3_2_1_5_1","volume-title":"Proc. of NeurIPS.","author":"Bamas Etienne","year":"2020","unstructured":"Etienne Bamas , Andreas Maggiori , and Ola Svensson . 2020 . The Primal-Dual method for Learning Augmented Algorithms . In Proc. of NeurIPS. Etienne Bamas, Andreas Maggiori, and Ola Svensson. 2020. The Primal-Dual method for Learning Augmented Algorithms. In Proc. of NeurIPS."},{"key":"e_1_3_2_1_6_1","volume-title":"Online computation and competitive analysis","author":"Borodin A.","unstructured":"A. Borodin and R El-Yaniv . 1998. Online computation and competitive analysis . Cambridge University Press . A. Borodin and R El-Yaniv. 1998. Online computation and competitive analysis. Cambridge University Press."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2993749.2993766"},{"key":"e_1_3_2_1_8_1","volume-title":"Joseph Seffi Naor, et al","author":"Buchbinder Niv","year":"2009","unstructured":"Niv Buchbinder , Joseph Seffi Naor, et al . 2009 . The design of competitive online algorithms via a primal-dual approach. Foundations and Trends\u00ae in Theoretical Computer Science 3, 2-3 (2009), 93--263. Niv Buchbinder, Joseph Seffi Naor, et al. 2009. The design of competitive online algorithms via a primal-dual approach. Foundations and Trends\u00ae in Theoretical Computer Science 3, 2-3 (2009), 93--263."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2745844.2745854"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2964791.2901464"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3322205.3311087"},{"key":"e_1_3_2_1_12_1","volume-title":"DeepMind AI Reduces Google Data Centre Cooling Bill by 40%. https:\/\/deepmind.com\/blog\/deepmind-ai-reduces-google-data-centre-cooling-bill-40\/","author":"Evans Richard","year":"2016","unstructured":"Richard Evans and Jim Gao . 2016. DeepMind AI Reduces Google Data Centre Cooling Bill by 40%. https:\/\/deepmind.com\/blog\/deepmind-ai-reduces-google-data-centre-cooling-bill-40\/ ( 2016 ). Richard Evans and Jim Gao. 2016. DeepMind AI Reduces Google Data Centre Cooling Bill by 40%. https:\/\/deepmind.com\/blog\/deepmind-ai-reduces-google-data-centre-cooling-bill-40\/ (2016)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2451116.2451123"},{"key":"e_1_3_2_1_14_1","volume-title":"Online Algorithms for Rent-Or-Buy with Expert Advice. In International Conference on Machine Learning. 2319--2327","author":"Gollapudi Sreenivas","year":"2019","unstructured":"Sreenivas Gollapudi and Debmalya Panigrahi . 2019 . Online Algorithms for Rent-Or-Buy with Expert Advice. In International Conference on Machine Learning. 2319--2327 . Sreenivas Gollapudi and Debmalya Panigrahi. 2019. Online Algorithms for Rent-Or-Buy with Expert Advice. In International Conference on Machine Learning. 2319--2327."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2934328.2934329"},{"key":"e_1_3_2_1_16_1","volume-title":"Optimal Algorithms for Ski Rental with Soft Machine-Learned Predictions. arXiv preprint arXiv:1903.00092","author":"Kodialam Rohan","year":"2019","unstructured":"Rohan Kodialam . 2019. Optimal Algorithms for Ski Rental with Soft Machine-Learned Predictions. arXiv preprint arXiv:1903.00092 ( 2019 ). Rohan Kodialam. 2019. Optimal Algorithms for Ski Rental with Soft Machine-Learned Predictions. arXiv preprint arXiv:1903.00092 (2019)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3199524.3199558"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2012.2226216"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2318857.2254779"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2014.2308295"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2494232.2465551"},{"key":"e_1_3_2_1_22_1","volume-title":"Competitive Caching with Machine Learned Advice. In International Conference on Machine Learning. 3302--3311","author":"Lykouris Thodoris","year":"2018","unstructured":"Thodoris Lykouris and Sergei Vassilvtiskii . 2018 . Competitive Caching with Machine Learned Advice. In International Conference on Machine Learning. 3302--3311 . Thodoris Lykouris and Sergei Vassilvtiskii. 2018. Competitive Caching with Machine Learned Advice. In International Conference on Machine Learning. 3302--3311."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1842733.1842736"},{"key":"e_1_3_2_1_24_1","unstructured":"Manish Purohit Zoya Svitkina and Ravi Kumar. 2018. Improving Online Algorithms via ML Predictions. In Advances in Neural Information Processing Systems. 9661--9670. Manish Purohit Zoya Svitkina and Ravi Kumar. 2018. Improving Online Algorithms via ML Predictions. In Advances in Neural Information Processing Systems. 9661--9670."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1592568.1592584"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975994.112"},{"key":"e_1_3_2_1_27_1","volume-title":"Proc. of NeurIPS.","author":"Wang Shufan","year":"2020","unstructured":"Shufan Wang , Jian Li , and Shiqiang Wang . 2020 . Online Algorithms for Multishop Ski Rental with Machine Learned Advice . In Proc. of NeurIPS. Shufan Wang, Jian Li, and Shiqiang Wang. 2020. Online Algorithms for Multishop Ski Rental with Machine Learned Advice. In Proc. of NeurIPS."},{"key":"e_1_3_2_1_28_1","volume-title":"Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX\/RANDOM","author":"Wei Alexander","year":"2020","unstructured":"Alexander Wei . 2020. Better and Simpler Learning-Augmented Online Caching . In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX\/RANDOM 2020 ). Schloss Dagstuhl-Leibniz-Zentrum f\u00fcr Informatik . Alexander Wei. 2020. Better and Simpler Learning-Augmented Online Caching. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX\/RANDOM 2020). Schloss Dagstuhl-Leibniz-Zentrum f\u00fcr Informatik."},{"key":"e_1_3_2_1_29_1","volume-title":"Proc. of NeurIPS.","author":"Wei Alexander","year":"2020","unstructured":"Alexander Wei and Fred Zhang . 2020 . Optimal Robustness-Consistency Tradeoffs for Learning-Augmented Online Algorithms . In Proc. of NeurIPS. Alexander Wei and Fred Zhang. 2020. Optimal Robustness-Consistency Tradeoffs for Learning-Augmented Online Algorithms. In Proc. of NeurIPS."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2602044.2602048"},{"key":"e_1_3_2_1_31_1","volume-title":"Online Inventory Management with Application to Energy Procurement in Data Centers. arXiv preprint arXiv:1901.04372","author":"Yang Lin","year":"2019","unstructured":"Lin Yang , Mohammad H Hajiesmaili , Ramesh Sitaraman , Enrique Mallada , Wing S Wong , and Adam Wierman . 2019. Online Inventory Management with Application to Energy Procurement in Data Centers. arXiv preprint arXiv:1901.04372 ( 2019 ). Lin Yang, Mohammad H Hajiesmaili, Ramesh Sitaraman, Enrique Mallada, Wing S Wong, and Adam Wierman. 2019. Online Inventory Management with Application to Energy Procurement in Data Centers. arXiv preprint arXiv:1901.04372 (2019)."},{"key":"e_1_3_2_1_32_1","volume-title":"18th Annual Symposium on Foundations of Computer Science (sfcs","author":"Chi-Chin Yao Andrew","year":"1977","unstructured":"Andrew Chi-Chin Yao . 1977 . Probabilistic computations: Toward a unified measure of complexity . In 18th Annual Symposium on Foundations of Computer Science (sfcs 1977). IEEE, 222--227. Andrew Chi-Chin Yao. 1977. Probabilistic computations: Toward a unified measure of complexity. In 18th Annual Symposium on Foundations of Computer Science (sfcs 1977). IEEE, 222--227."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2551282"},{"key":"e_1_3_2_1_34_1","volume-title":"Peak-Aware Online Economic Dispatching for Microgrids. arXiv preprint arXiv:1508.03996","author":"Zhang Ying","year":"2015","unstructured":"Ying Zhang , H Mohammad , Sinan Cai , Minghua Chen , and Qi Zhu . 2015. Peak-Aware Online Economic Dispatching for Microgrids. arXiv preprint arXiv:1508.03996 ( 2015 ). Ying Zhang, H Mohammad, Sinan Cai, Minghua Chen, and Qi Zhu. 2015. Peak-Aware Online Economic Dispatching for Microgrids. arXiv preprint arXiv:1508.03996 (2015)."}],"event":{"name":"e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems","location":"Virtual Event Italy","acronym":"e-Energy '21"},"container-title":["Proceedings of the Twelfth ACM International Conference on Future Energy Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3447555.3464860","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3447555.3464860","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,13]],"date-time":"2023-01-13T07:44:44Z","timestamp":1673595884000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447555.3464860"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,22]]},"references-count":34,"alternative-id":["10.1145\/3447555.3464860","10.1145\/3447555"],"URL":"https:\/\/doi.org\/10.1145\/3447555.3464860","relation":{},"subject":[],"published":{"date-parts":[[2021,6,22]]},"assertion":[{"value":"2021-06-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}