{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T07:10:14Z","timestamp":1741158614833,"version":"3.38.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T00:00:00Z","timestamp":1734480000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T00:00:00Z","timestamp":1734480000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-2244391"],"award-info":[{"award-number":["CNS-2244391"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,18]]},"DOI":"10.1109\/icmla61862.2024.00147","type":"proceedings-article","created":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T18:39:11Z","timestamp":1741113551000},"page":"991-996","source":"Crossref","is-referenced-by-count":0,"title":["Scheduled Sampling for Recursive Multi-Step GPU Temperature Forecasting"],"prefix":"10.1109","author":[{"given":"Harold","family":"Wang","sequence":"first","affiliation":[{"name":"University of California, San Diego,Department of Cognitive Science,San Diego,CA,92092"}]},{"given":"Xunfei","family":"Jiang","sequence":"additional","affiliation":[{"name":"California State University, Northridge,Department of Computer Science,Northridge,CA,91330"}]},{"given":"Mahdi","family":"Ebrahimi","sequence":"additional","affiliation":[{"name":"California State University, Northridge,Department of Computer Science,Northridge,CA,91330"}]}],"member":"263","reference":[{"volume-title":"2023 U.S. Data Center Market Overview & Market Clusters","year":"2023","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CCIS.2011.6045063"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC51664.2024.10454842"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"2253","DOI":"10.1016\/j.egyr.2023.01.032","article-title":"Thermal prediction for energy management of clouds using a hybrid model based on cnn and stacking multi-layer bi-directional lstm","volume":"9","author":"Tabrizchi","year":"2023","journal-title":"Energy Reports"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-51466-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3040800"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC51644.2023.10060079"},{"issue":"5s","key":"ref8","doi-asserted-by":"crossref","DOI":"10.1145\/3358235","article-title":"Thermal-aware scheduling for integrated cpus-gpu platforms","volume":"18","author":"Lee","year":"2019","journal-title":"ACM Trans. Embed. Comput. Syst."},{"key":"ref9","article-title":"On the efficacy of machine learning to inform thermal and energy aware load balancing for gpu clusters","volume-title":"13th Annual Out in Science, Technology, Engineering, and Mathematics (oSTEM) Conference","author":"Finley","year":"2023"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA58977.2023.00263"},{"key":"ref11","first-page":"11","article-title":"A unified model for holistic power usage in cloud datacenter servers","volume-title":"2016 IEEEIACM 9th International Conference on Utility and Cloud Computing (UCC)","author":"Garraghan","year":"2016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9590"},{"volume-title":"Scheduled sampling for sequence prediction with recurrent neural networks","year":"2015","author":"Bengio","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref16","article-title":"How to use xgboost for time-series forecasting?","author":"Sharma","year":"2024","journal-title":"Analytics Vidhya"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295070"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"110045","DOI":"10.1016\/j.chaos.2020.110045","article-title":"Robustness of LSTM neural networks for multi -step forecasting of chaotic time series","volume":"139","author":"Sangiorgio","year":"2020","journal-title":"Chaos, Solitons Fractals"},{"key":"ref19","article-title":"Recursive multi-step forecasting","author":"Rodrigo","year":"2024","journal-title":"Skforecast Docs"}],"event":{"name":"2024 International Conference on Machine Learning and Applications (ICMLA)","start":{"date-parts":[[2024,12,18]]},"location":"Miami, FL, USA","end":{"date-parts":[[2024,12,20]]}},"container-title":["2024 International Conference on Machine Learning and Applications (ICMLA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10903208\/10903212\/10903278.pdf?arnumber=10903278","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T06:28:54Z","timestamp":1741156134000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10903278\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,18]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icmla61862.2024.00147","relation":{},"subject":[],"published":{"date-parts":[[2024,12,18]]}}}