本文選題：數(shù)據(jù)挖掘 + 聚類算法��； 參考：《華北電力大學》2014年碩士論文

【摘要】：“十二五”期間,隨著我國經(jīng)濟和社會的可持續(xù)發(fā)展,全社會的用電量持續(xù)增加,電網(wǎng)企業(yè)的規(guī)模也日益擴大,電力行業(yè)進入快速發(fā)展期,預計全國發(fā)電裝機容量將增加近5億千瓦,全社會用電量將增加2萬億千瓦時。我國電力市場化改革后,發(fā)電側(cè)和售電側(cè)都不同程度地引入市場化競爭,電網(wǎng)企業(yè)面臨的外部環(huán)境更加復雜,競爭壓力更大,企業(yè)現(xiàn)行的運營機制和管理體制已難以滿足電網(wǎng)快速發(fā)展的要求。為了實現(xiàn)我國電網(wǎng)企業(yè)的跨越式戰(zhàn)略發(fā)展,電網(wǎng)企業(yè)的同業(yè)對標管理成為最有用的管理工具之一。 對標管理,作為動態(tài)的過程管理方式,通過向行業(yè)領先的企業(yè)或機構(gòu)學習,對照其管理方式和經(jīng)營業(yè)績,找出本企業(yè)與標桿企業(yè)的差距所在,制定符合企業(yè)實際情況的改進措施,并落實到具體部門和工作中,從而提高企業(yè)的發(fā)展水平和市場競爭力。隨著世界經(jīng)濟一體化速度的加快,我國的電網(wǎng)企業(yè)不僅面臨著國內(nèi)的同業(yè)競爭,還面臨越來越多的國際競爭,為了進一步減小我國企業(yè)與西方發(fā)達國家之間的差距,同業(yè)對標管理將成為企業(yè)提高自身綜合競爭能力和國際市場占有率的有效手段之一。 本文首先研究我國電網(wǎng)企業(yè)的對標管理現(xiàn)狀,通過對標管理的開展現(xiàn)狀和基本架構(gòu)的分析,提出我國電網(wǎng)企業(yè)對標管理存在的問題；其次,針對現(xiàn)有對標管理存在的問題,并且結(jié)合國家電網(wǎng)公司“一強三優(yōu)”的發(fā)展戰(zhàn)略,從電網(wǎng)發(fā)展、資產(chǎn)質(zhì)量、供電服務、經(jīng)營業(yè)績四個方面構(gòu)建新型電網(wǎng)企業(yè)同業(yè)對標指標體系；再次,研究同業(yè)對標的數(shù)據(jù)挖掘算法,重點研究引力搜索和K-means算法相結(jié)合的混合聚類算法在電網(wǎng)企業(yè)同業(yè)對標中的應用,并通過實際電力公司的對標驗證該算法的有效性和可行性；最后,基于同業(yè)對標結(jié)果提出相應的對標評分和考評模式,為電網(wǎng)企業(yè)的經(jīng)營發(fā)展提供決策支持。
[Abstract]:During the 12th Five-Year Plan period, with the sustainable development of China's economy and society, the electricity consumption of the whole society continues to increase, the scale of power grid enterprises is also expanding day by day, and the electric power industry has entered a period of rapid development. It is expected that the national power generation capacity will increase by nearly 500 million kilowatts and the power consumption of the whole society will increase by 2 trillion kilowatt-hours. After the reform of electricity market in our country, both the generation side and the selling side introduce market-oriented competition to varying degrees, and the external environment of power grid enterprises is more complex and the competition pressure is greater. The current operation mechanism and management system of enterprises have been difficult to meet the requirements of rapid development of power grid. In order to realize the leap-forward strategic development of power grid enterprises, the management of interbank bidding of power grid enterprises has become one of the most useful management tools. Standard management, as a dynamic process management method, by learning from leading enterprises or institutions in the industry, comparing their management methods and operating performance, to find out the gap between the enterprises and benchmark enterprises, To make the improvement measures in line with the actual situation of the enterprise, and implement them into the specific departments and work, so as to improve the level of development and market competitiveness of the enterprise. With the acceleration of the integration of the world economy, the power grid enterprises in our country are facing not only domestic competition, but also more and more international competition. In order to further reduce the gap between Chinese enterprises and western developed countries, The management of interbank bidding will become one of the effective means for enterprises to improve their comprehensive competitive ability and international market share. This paper first studies the current situation of the standard management of the power grid enterprises in China, through the analysis of the status quo and basic framework of the standard management, puts forward the existing problems of the standard management of the power grid enterprises in China; secondly, aiming at the existing problems in the management of the standard management, And combined with the development strategy of "one strong and three excellent" of State Grid Company, from four aspects of power grid development, asset quality, power supply service, operating performance to build a new type of power grid enterprise peer bidding index system; third, In this paper, the data mining algorithm of interbank pairs is studied, and the application of hybrid clustering algorithm, which combines Gravity search and K-means algorithm, is studied. The validity and feasibility of the algorithm are verified by the actual power companies. Finally, based on the results of peer bidding, a corresponding evaluation model is proposed to provide decision support for the management and development of power grid enterprises.
【學位授予單位】：華北電力大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F426.61

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