Research And Development Of Load Forecasting System Based On .NET

Load forecasting is the foundation of power system operation and planning. And under the current power market, more functions and better capability is expected of load forecasting system. Therefore, it is necessary to develop a new system based on appropriate forecasting strategy and new platform to meet the need of the market.The soft development faced to the WEB distributional application is in prevalence. And as the new platform for the web application of Microsoft, .NET is very powerful combined with the theory of multilayer architecture and it is an efficient technology to establish a new enterprise application system facing web application, especially for a large one.Combined with the project of Intelligent Load Analysis, Forecasting and Management designed by Hunan HDWL Electric and Information Technology Co., LTD, this paper introduces the realization of an enterprise application system based on .NET. Distributional application developing, system architecture and major design are expounded. And data accessing solution is studied as well.The load forecasting system is a specialized application software. How to obtain the ideal effect is the final goal, except a good software structure, constructing a reasonable forecasting strategy is also very important, and it is one of the preconditions to a successful forecast. This paper researches the main content and the process of forecasting, then analyzes the correlation factors which interfere the forecasting. A novel forecasting strategy is proposed based on the thoughts of the hypothesized forecasting, similar day selection using weather characteristics and meteorological tendency and the technology of data mining and so on.The system constructs an integrative forecasting platform for a province and its sub area, combined with load analysis, load forecasting and management and it applies the most functions of load forecasting. The system is fairly intelligent in self-organization, self-learning and self-adaptation by extensively dealing with weather and other factors. And the application result verifies a successful system.