沈阳工业大学学报2018，Vol.40Issue(1)：12-18,7.DOI:10.7688/j.issn.1000-1646.2018.01.03
基于饱和负荷密度的城市远景空间负荷预测
Forecasting for urban prospective spatial load based on saturated load density
摘要
Abstract
Aiming at the power grid planning problem in the medium and long term development of cities, a forecasting method for urban prospective spatial load based on saturated load density was proposed. Based on the rough set and cellular automata theory, the dynamic change process of land use with different types in the cities was simulated, and the future type and area change of land use in the planning area were predicted according to the land conversion rules of different land use types. Based on the logistic saturated load forecasting model, the saturated load density curve of different land use types was predicted. According to the saturated load density curves and the area of different land use types, the urban prospective spatial load distribution was forecasted, and the validity of the proposed method was verified with examples, which could provided a theoretical reference for further research of urban spatial load forecasting.关键词
负荷密度/城市电网/空间负荷预测/曲线模型/用地规划/粗糙集/元胞自动机/土地类型Key words
load density/urban power grid/spatial load forecasting/curve model/land use planning/rough set/cellular automata/land type分类
信息技术与安全科学引用本文复制引用
张明理,宋卓然,梁毅,史喆,叶鹏..基于饱和负荷密度的城市远景空间负荷预测[J].沈阳工业大学学报,2018,40(1):12-18,7.基金项目
辽宁省自然科学基金指导计划资助项目(201602534). （201602534）
