Research In Energy Monitoring Field For Public Building Based On Seasonal Grey Forecast Theory

Along with the rapid development of urbanization in China, people have higher requirments for living condition, building energy problem in China is becoming more and more outstanding, large-scale public buildings with huge energy consumption per unit area, cause for people's more concern. Reducing energy data can not only help businesses reduce costs and enhance enterprises competitiveness, but also contribute to social and economic healthy and sustainable development. In recent years, the national put forward a number of energy saving related policies, large-scale building gradually step into the energy dynamic monitoring phase, large public building energy data dynamic storage, data analysis and report shows. However, the system lack of forecasting, which is a key step to energy data accurate planning and allocation. Therefore, it is necessary to introduce scientific methods to solve this problem.Research in the energy monitoring field of public building based on seasonal grey forecast theory described in this paper is researched on the platform of energy management system in Shanxi, aimed at establishing a forecasting and alarm function of public building energy monitoring platform, providing a scientific basis for implementation of energy saving, making of energy politics, planning and configuration of energy consumption.Firstly, this paper introduces the research background of the subject and the development status at home and abroad. Secondly, describe the importance and feasibility of introducing forecasting algorithm in the system. Furthermore, analysis typical energy forecasting algorithm, according to the factors and the Characteristics of historical data and the historical data has obvious cyclical nature, proposed seasonal grey forcasting theory. Again, adopted improving smooth degree of data series to raise its precision on condition that GM(1,1) is with low precision when the date sepuence increased or decreased too quickly. Finally, the seasonal gray forcasting theory is applied to public buildings in Shanxi energy monitoring system, and the result show that the seasonal grey forcasting model that proposed with higher precision, than traditional model, can provide a reference value for further improvement of the large-scale public building energy monitoring system.