Towards equity in energy efficiency analyses.
Towards equity in energy efficiency analyses.
复制标题
实现能源效率分析的公平。
DOI：
10.1145/3486611.3492411
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Shenoy, P.
中科院分区：
文献类型：
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作者：
Wamburu, J.;Grazier, E.;Irwin, D.;Crago, C.;Shenoy, P.
电网已经开始了从主要使用碳密集型能源到使用无碳可再生能源的深刻转变。与此同时，智能电表和其他传感器现在为我们提供了无与伦比的建筑和电网运营能效可见性。研究人员正在积极使用来自这些传感器的建筑和电网能源数据来开发分析技术，例如，利用机器学习，可以提高能源效率，促进能源转型。不幸的是，大部分研究都忽略了这些分析对公平的影响。也就是说，虽然当前的数据分析技术可以准确地识别能源效率低下的情况，但它们通常不会将这些效率低下的根本原因放在背景中。例如，识别最节能的家庭的数据分析可能会激励针对这些家庭的新计划，以提高能源效率。然而，能源效率最低的家庭也可能与收入最高的家庭相关，这些家庭不太需要补贴，并且参与了最浪费能源的行为。相比之下，最节能的家庭可能是最不浪费（甚至使用）能源的家庭。在本文中，我们使用最近的研究中的一个例子来说明国家的最先进的能源分析的不公平，并认为能源分析研究应该提升公平性的一流关注。
The electric grid has begun a profound transition from primarily using carbon-intensive energy to instead using carbon-free renewable energy. In parallel, smart meters and other sensors are now providing us unparalleled visibility into the energy-efficiency of building and grid operations. Researchers are actively using building and grid energy data from these sensors to develop analytics techniques, e.g., using machine learning, that can improve energy-efficiency and facilitate the energy transition. Unfortunately, much of this research ignores the impact of these analytics onequity.That is, while current data analytics techniques may accurately identify energy-inefficiencies, they generally do not contextualize the underlying reasons for these inefficiencies. For example, data analytics that identify the most energy-inefficient homes might motivate new programs that target these homes for subsidies to improve energy-efficiency. However, the most energy-inefficient homes might also correlate with those with the highest income that have less need for subsidies, and engage in the most energy wasteful behavior. In contrast, the most energy-efficient homes might be the homes that can least afford to waste (or even use) energy. In this paper, we use an example from recent research to illustrate the inequity of state-of-the-art energy analytics, and argue that energy analytics research should elevate equity to a first-class concern.