A Data-driven System for City-wide Energy Footprinting and Apportionment
A Data-driven System for City-wide Energy Footprinting and Apportionment
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DOI：
10.1145/3433639
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发表时间：
2021-01
期刊：
影响因子：
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通讯作者：
Peter Wei;Xiaofan Jiang
中科院分区：
文献类型：
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作者：
Peter Wei;Xiaofan Jiang
能源足迹有可能提高能源消耗意识并促进节能行为。然而，目前的方法很大程度上仅限于单体建筑；这些方法需要部署能源和占用监测传感器，这可能非常昂贵且难以大规模部署。此外，当前大规模估计能源消耗和人口的方法无法为合理的个人能源足迹估计提供足够精细的时间或空间粒度。在这项工作中，我们提出了一个数据驱动的系统，用于在全市范围内估计个人能源足迹。该系统利用城市现有的传感基础设施和数据源，提供建筑层面的能源和人口估计，甚至在没有现有或可访问的能源或人口数据的建筑环境中也是如此。
Energy footprinting has the potential to raise awareness of energy consumption and lead to energy-saving behavior. However, current methods are largely restricted to single buildings; these methods require energy and occupancy monitoring sensor deployments, which can be expensive and difficult to deploy at scale. Further, current methods for estimating energy consumption and population at scale cannot provide fine enough temporal or spatial granularity for a reasonable personal energy footprint estimate. In this work, we present a data-driven system for city-wide estimation of personal energy footprints. This system takes advantage of existing sensing infrastructure and data sources in urban cities to provide energy and population estimates at the building level, even in built environments that do not have existing or accessible energy or population data.