本文關(guān)鍵詞：結(jié)構(gòu)化用電客戶互動需求信息的比對庫設(shè)計　出處：《電力系統(tǒng)及其自動化學(xué)報》2016年06期 　論文類型：期刊論文

  更多相關(guān)文章： 互動需求 比對庫 差異性指標 高斯混合模型

【摘要】：為提升電力系統(tǒng)服務(wù)效率與水平,該文對結(jié)構(gòu)化用電客戶互動需求信息提出了新穎的比對方案和比對庫設(shè)計方案。比對方案以客戶互動需求信息的一組統(tǒng)計量作為特征向量,結(jié)合特征向量的距離和相關(guān)系數(shù)構(gòu)造單一用戶之間的差異性指標,對用戶集則采用高斯混合模型為統(tǒng)計特征向量集建模,并引用Kullback-Leibler(K-L)散度測量用戶集的差異。利用客戶互動需求信息、特征統(tǒng)計量以及差異性量化指標設(shè)計了一個三級的比對庫。文中的比對方案可有效衡量單一用電客戶和用電客戶集的差異程度,改善比對效率和可靠性,三級比對庫可全方位地反映客戶互動需求數(shù)據(jù)的差異,有利于數(shù)據(jù)的分析和處理。
[Abstract]:In order to improve the efficiency and level of power system service, this paper presents a novel comparison scheme and a comparative library design scheme for structured customer interactive demand information. Alignment scheme with a set of statistics of customer interaction demand information as a feature vector, combined with the index difference between the feature vector distance and correlation coefficient to construct a single user, the user set using the Gauss mixture model for statistical feature vector set, and refer to Kullback-Leibler (K-L) difference divergence to measure user sets. A three level comparison library is designed by using the customer interactive requirement information, the feature statistics and the difference quantization index. Alignment scheme in this paper can effectively measure the degree of difference between the single electricity customers and electricity customers set, improve the matching efficiency and reliability, the three level can be fully reflect the differences on customer interaction demand data, is conducive to the analysis and processing of data.
【作者單位】： 中國電力科學(xué)研究院;天津大學(xué)電氣與自動化工程學(xué)院;
【分類號】：F426.61;TP311.13
【正文快照】： 隨著我國經(jīng)濟的持續(xù)快速發(fā)展,電力需求不斷增長,能源瓶頸問題變得越來越突出。為了滿足電力的供需平衡和供電的可靠性,電力公司除了增加電力基礎(chǔ)設(shè)施的投資以外,還必須實時調(diào)整營銷策略與服務(wù)方案,鼓勵用電客戶進行需求側(cè)響應(yīng)和節(jié)能。對用電客戶的互動需求信息進行分析與比對,

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