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A Data-Driven Approach for Targeting Residential Customers for Energy Efficiency Programs

机译：面向居民客户的节能计划的数据驱动方法

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Targeting the right customers for energy efficiency (EE) programs is crucial for the power distribution or retail companies to enhance the efficiency of marketing budget allocation and the yield of energy savings. This work presents a scalable methodology for targeting residential customers for EE programs that focus on reducing unnecessary domestic energy consumption and replacing low efficient refrigerator-freezers by using smart meter data and daily temperature data. A novel method is proposed to detect baseload (i.e., power constantly consumed by some appliances that are never turned off) segments from daily load profiles. Test on ground truth data shows the high accuracy performance of the proposed method and its adaptiveness to the heterogeneity in energy consumptions across customers. Then we discuss how the proposed method can be utilized to identify customers with high baseload energy saving potentials and low efficient refrigerator-freezers. Case studies validate that the proposed targeting strategy far outperforms random selection.
机译：针对能源效率（EE）计划瞄准正确的客户对于配电或零售公司提高营销预算分配效率和节能收益至关重要。这项工作提出了一种针对居民用户的EE计划可扩展方法，该计划着重于通过使用智能电表数据和每日温度数据来减少不必要的家庭能源消耗并替换低效的冰箱冰柜。提出了一种新颖的方法来从每日负载曲线中检测基本负载（即，某些设备从未关闭的设备不断消耗的功率）段。对地面真实数据的测试表明，该方法具有较高的精度，并且可以适应不同客户的能耗差异。然后，我们讨论如何利用所提出的方法来识别具有高基本负荷节能潜力和低效率的冰箱冰柜的客户。案例研究证实，提出的定位策略远胜于随机选择。

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