Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15–17 March 2024, Changsha, China

Research Article

Research on the Construction of a Visualized Urban Power Supply Capacity Map with improved Power Grid Load Forecasting Methods

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  • @INPROCEEDINGS{10.4108/eai.15-3-2024.2346370,
        author={Zhixin  Qiu and Jilong  Huang and Gang  Li and Yongzhi  Fu and Fei  Du},
        title={Research on the Construction of a Visualized Urban Power Supply Capacity Map with improved Power Grid Load Forecasting Methods},
        proceedings={Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15--17 March 2024, Changsha, China},
        publisher={EAI},
        proceedings_a={PMIS},
        year={2024},
        month={6},
        keywords={load forecasting gis power supply capacity map visualization},
        doi={10.4108/eai.15-3-2024.2346370}
    }
    
  • Zhixin Qiu
    Jilong Huang
    Gang Li
    Yongzhi Fu
    Fei Du
    Year: 2024
    Research on the Construction of a Visualized Urban Power Supply Capacity Map with improved Power Grid Load Forecasting Methods
    PMIS
    EAI
    DOI: 10.4108/eai.15-3-2024.2346370
Zhixin Qiu1,*, Jilong Huang1, Gang Li1, Yongzhi Fu1, Fei Du1
  • 1: Hainan power grid limited liability company Haikou power supply Bureau
*Contact email: 1079652942@qq.com

Abstract

This article conducts in-depth research on the construction of urban power supply capacity maps, and achieves real-time display and prediction of power supply capacity through grid load prediction algorithms and GIS visualization technology. Firstly, a distribution network line model library was established to obtain accurate distribution of power supply capacity through multi-source data fusion technology. Secondly, LDI and neural network methods are used to analyze and predict power grid load data. Finally, the power supply capacity data is presented in a vivid and comprehensive manner through the GIS visualization platform, providing an intuitive and comprehensive view, enabling users to quickly obtain information on the power supply capacity of the regional distribution network. These research results not only have important value for decision-making in the power grid, but also provide useful reference information for government departments to support urban power planning and development.