This paper proposes a novel spatial load forecasting (SLF) method for distribution planning.
文章提出了一种新颖的配电网空间负荷预测模型。
Load forecasting can be subdivided into gross load forecasting and spatial load forecasting, which play an important guiding role in distribution network planning.
负荷预测包含负荷总量预测和空间负荷预测，它们对合理地进行配电网规划具有重要的指导意义。
The subjectivity of land-use analysis in former spatial load forecasting is reduced by multi-person decision making and the accuracy of load forecasting is improved.
多人决策降低了以往空间负荷预测用地分析的主观性，提高了预测精度。
This paper presents the improvement of spatial load forecasting method of distribution network, and the fuzzy inference on small area land-use analysis is emphatically studied.
对配电网的空间负荷预测方法进行改进，重点研究小区用地分析的模糊推理模型，把人工神经网络技术与模糊推理系统相结合的方法应用于小区用地分析。
A new spatial load forecasting method is proposed, in which the fuzzy multi-objective multi-person decision making is led into land-use decision making for spatial load forecasting.
提出了一种新的空间负荷预测方法，在进行空间负荷预测用地类型决策时引入了模糊多目标多人决策。
A new spatial load forecasting method is proposed, in which the fuzzy multi-objective multi-person decision making is led into land-use decision making for spatial load forecasting.
提出了一种新的空间负荷预测方法，在进行空间负荷预测用地类型决策时引入了模糊多目标多人决策。
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