Volume 14: Proceedings Applied Energy Symposium: CUE2021, Japan/Virtual, 2021

Correlation Analysis of Demographic Data and Power System’s Load Profile in a Smart City Yufan Qiu, Xinwei Shen


As energy and environmental issues become more and more serious, we need to further improve the overall energy efficiency of modern cities. The operation of the urban energy system is affected by the characteristics of human social behavior, which increases the complexity of the problem. Therefore, cities must find how to conduct a comprehensive analysis of the energy use behavior of social residents from the perspective of smart cities and energy Internet, and then carry out effective guidance and management, assist the transformation and upgrading of the urban energy system, reasonable planning, and realize the improvement of urban comprehensive energy efficiency, cleanliness, and low carbon. The social-physical behavior model of residents formed by the corresponding population mobility attributes and energy attributes can reflect economic conditions and the behavior habits of various groups, thereby assisting the investment decision-making of urban infrastructure construction, and providing a basis for urban and power grid planning.

Keywords smart cities, urban energy system, socialphysical model, population mobility attributes, energy efficiency, correlation analysis, urban and power grid planning, urban infrastructure construction

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