Research on urban saturation load forecasting based on logistic algorithm

Urban saturation load is the key index to determine the final scale of power grid development in urban power network planning. The research on urban power load forecasting has important guiding significance and practical value for the construction and planning of urban power network in the future. In this paper, a new method based on the saturated load density was proposed for the prediction of urban spatial load. Firstly, the saturated load density curve of different land use types is predicted based on the logistic saturated load forecasting model, and the validity of logistic curve model is verified by absolute value error analysis Secondly, the land situation and changing state are predicted by government planning. Finally, according to the saturated load density curves of different land types and the area of different land use types, the distribution of urban future spatial load is predicted, which is provided a theoretical reference for further research of city spatial load forecasting.