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本文从用电市场着手,以三大产业的用电量和宏观经济的主要指标为基础,以模糊聚类分析为手段,充分整合现有资源,运用数据标准化处理、计算模糊相似矩阵,直接聚类分析等一系列方法,得到不同的λ水平,进而对各个地区进行分类,进一步揭示了不同地区之间。由于用电市场的变化,对辖区内宏观经济主要指标的影响程度。为电力部门的规划、建设、生产提供有力的决策依据。
Based on the electricity consumption of the three major industries and the main macroeconomic indicators, this paper uses fuzzy clustering analysis as a means to fully integrate the existing resources, standardize the data processing, calculate the fuzzy similarity matrix, direct poly Class analysis and a series of methods to get different λ level, and then classified each region, further revealing the different regions. Due to changes in the electricity market, the main macroeconomic indicators within the area of influence. Power sector planning, construction, production to provide a strong basis for decision-making.