Research on optimization and application of evaluation algorithm for intelligent city

Duan, Ke

doi:10.1007/s11227-018-2609-x

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…Through intelligent energy management, smart transportation, intelligent building, and intelligent environmental monitoring, AI can achieve efficient use of energy and can help park managers better understand and manage energy consumption, optimize resource allocation, perform energy-saving services, and provide a better working environment for employees. It is believed that AI will bring more opportunities for the development of zero-carbon parks [14][15].…”

Section: Introductionmentioning

confidence: 99%

Low Carbon Operation Control Technology for Smart Parks Combined with Intelligent Optimization Algorithms

Zhao,

Wang,

et al. 2024

Applied Mathematics and Nonlinear Sciences

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This paper first calculates carbon emissions based on the carbon emission factor method and other methods and constructs a linear programming model for low-carbon operation of smart parks with economy, independence, and carbon emissions as objective functions, and constrains them from four aspects: power grid, natural gas pipeline network, equipment output, and energy storage battery limit. The problem can be solved using the sparrow optimization algorithm. Finally, the carbon emissions, power dispatching, and power consumption of the sample parks under the low-carbon operation control mode were analyzed. The results show that the carbon emissions of the park are reduced by 2035.93kg, and the total operating cost is reduced by 1680.11 yuan during the typical daily operation in summer after the intelligent optimization algorithm is used. The park’s carbon emissions decreased by 1686.53kg, and the total operating cost decreased by 1582.42 yuan during the typical daily operation in winter. The importance of this study lies in the low-carbon and modernization of smart parks.

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Section: Introductionmentioning

confidence: 99%