Detecting global electric consumption patterns from a spatial perspective and analyzing their inequality at different scales

Electric power resources are a crucial support for the development of modern society and plays an essential role in driving social progress. The United Nations Sustainable Development Goal 7 (SDG 7) calls for action to ensure access to affordable, reliable, sustainable and modern energy for all. Therefore, ensuring the equitable distribution of energy resources is not only an economic issue but also a major challenge concerning social equity and sustainable development. Hence, using spatial downscaling methods to obtain fine-scale electric power consumption (EPC) distribution for inequality analysis is imperative. This study proposes an E-NPBL (EPC - Nighttime light, Population density, Building volume, and Land use) framework for modeling the high-quality EPC spatial datasets

电力资源是现代社会发展的重要支撑，对推动社会进步具有关键作用。联合国可持续发展目标7（SDG 7）呼吁采取行动，确保所有人都能获取负担得起、可靠、可持续的现代能源。因此，保障能源资源的公平分配不仅是经济议题，更是关乎社会公平与可持续发展的重大挑战。为此，采用空间降尺度方法获取精细尺度的电力消耗量（Electric Power Consumption, EPC）分布以开展不平等性分析，具有极强的必要性。本研究提出了一种E-NPBL（电力消耗量-夜间灯光、人口密度、建筑体量与土地利用）框架，用于构建高质量的电力消耗量空间数据集。