TESLA: an extended study of an energy-saving agent that leverages schedule flexibility
TESLA: an extended study of an energy-saving agent that leverages schedule flexibility
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TESLA：利用调度灵活性的节能剂的扩展研究
DOI：
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发表时间：
2013
影响因子：
1.9
通讯作者：
Wendy Wood
中科院分区：
文献类型：
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作者：
J. Kwak;Pradeep Varakantham;R. Maheswaran;Yu;Milind Tambe;B. Becerik;Wendy Wood
本文介绍了一种用于商业建筑优化能源利用的变革性节能时间表杠杆剂(特斯拉)。特斯拉的关键见解是，增加活动/会议时间表的灵活性可以显著节省能源。本文提供了四个关键贡献：(I)在线调度算法，这是特斯拉的核心，用于求解随机混合整数线性规划，用于增量/动态到达的会议和活动的节能调度；(Ii)通过调整会议的灵活性来有效地识别导致显著节能的关键会议的算法；(Iii)对特斯拉实现的节能的广泛分析；以及(Iv)对真实用户的调查表明，特斯拉关于用户灵活性的假设在实践中是成立的。2011年至2012年的8个月期间，特斯拉在南加州大学和新加坡管理大学举行了超过11万次会议，这些会议收集的数据对特斯拉进行了评估。这些结果和分析表明，与目前的系统相比，特斯拉可以大幅降低整体能耗。
This paper presents transformative energy-saving schedule-leveraging agent (TESLA), an agent for optimizing energy usage in commercial buildings. TESLA’s key insight is that adding flexibility to event/meeting schedules can lead to significant energy savings. This paper provides four key contributions: (i) online scheduling algorithms, which are at the heart of TESLA, to solve a stochastic mixed integer linear program for energy-efficient scheduling of incrementally/dynamically arriving meetings and events; (ii) an algorithm to effectively identify key meetings that lead to significant energy savings by adjusting their flexibility; (iii) an extensive analysis on energy savings achieved by TESLA; and (iv) surveys of real users which indicate that TESLA’s assumptions of user flexibility hold in practice. TESLA was evaluated on data gathered from over 110,000 meetings held at nine campus buildings during an 8-month period in 2011–2012 at the University of Southern California and Singapore Management University. These results and analysis show that, compared to the current systems, TESLA can substantially reduce overall energy consumption.