THE APPLICATION OF DATA MINING TECHNOLOGY INTO THE CONTROL OF POWER ENTERPRISES’ ENERGY LOSS

摘要

In the operation of large turbo generator in the additional loss of energy was caused because many parameters’ deviation and certain equipment running changes. Thereby generating coal consumption increased and economic benefit declined. At the same time, power enterprises pay lots of energy to establish and maintain the system, but there’s no in-depth data analysis. On another hand, although the policy makers know the data contains important information, most of the important decisions were made according to there own experience and intuition because of the lack of extracting valuable knowledge tools. This paper introduced the (DM) technology and related concepts, and use the a power enterprise’s Data Mining Decision Support System (DSSEL) as an example to introduce the application of data mining into the power Enterprise energy loss control.