本文選題：電費回收 + 交費渠道　； 參考：《計算機工程與應用》2016年19期

【摘要】：電費回收直接關系到電力公司的有序運行,而交費渠道的建設和用電客戶交費渠道的偏好,直接影響電力公司的電費回收;因此做好用電客戶交費渠道偏好的研究至關重要�；诤诙挫乩碚摵拓惾~斯模型,提出了適合電力數據的黑洞熵模糊聚類模型。該模型的顯著特點是能通過最大后驗概率推理和迭代抽樣算法求解聚類最優(yōu)參數,且適用于大規(guī)模用戶數據�；诤诙挫啬：垲悓δ呈∮秒娍蛻舻膶嶋H抽樣數據進行模式發(fā)現表明,電力公司自營自助交費渠道尤為值得推廣,預付費交費渠道最具有潛力。
[Abstract]:Electricity recovery is directly related to the orderly operation of power companies, and the construction of payment channels and the preference of customer payment channels directly affect the electricity recovery of power companies; therefore, it is very important to do a good job in the research of the preference of customer payment channels. Based on black hole entropy theory and Bayesian model, a black hole entropy fuzzy clustering model suitable for power data is proposed. The remarkable feature of this model is that it can solve the clustering optimal parameters by maximum posterior probability reasoning and iterative sampling algorithm, and it is suitable for large-scale user data. Based on black hole entropy fuzzy clustering, the actual sampling data of power customers in a certain province are found. The results show that self-service payment channels of power companies are particularly worthy of promotion, and prepaid payment channels have the most potential.
【作者單位】： 國網江蘇省電力公司;江南大學數字媒體學院;國網江蘇省電力公司南京供電公司;
【基金】：國家電網公司科技項目
【分類號】：F426.61;TP311.13
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本文編號：1951809