Meteorological sensitive electric quantity mining method capable of considering multi-region difference

Abstract

The invention discloses a meteorological sensitive electric quantity mining method capable of considering multi-region difference. The method comprehensively considers the non-linear relationship between the electric quantities of a plurality of mined regions and various meteorological factors such as temperature, humidity and rainfall; the long-term trend component, namely, amount of natural increase of the electric quantities can be finely stripped by technologies such as X-12-ARIMA, so that the change rule of the electric quantities along with weather conditions and day types is effectively acquired, and precise mining of daily meteorological sensitive electric quantities at the specific regions can be realized; the meteorological sensitive electric quantities can be used for better carrying out deep analysis on the root cause of electric quantity change, so that short-term electric quantity forecasting is guided.

Description

technical field [0001] The invention relates to a weather-sensitive electricity mining method considering multi-regional differences, belonging to the field of power grid load forecasting. Background technique [0002] With the development of social economy and the improvement of people's living standards, industrial manufacturers pay more and more attention to the manufacturing process of products, and people are increasingly pursuing a more comfortable working and living environment. Keeping a specific environment constant at a certain temperature or fluctuating within a certain range has become an important guarantee for production and life. For example, some electronic product production workshops need to control the temperature at an appropriate level to reduce the rate of defective products; residents install air-conditioning equipment to ensure cool indoors in summer. These electrical equipment used to ensure that the ambient temperature and humidity are within a cer...

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Problems solved by technology

Although these analysis methods are simple, there may be large deviations, and their shortcomings are reflected in at least three aspects: 1) The traditional analysis methods mainly consider temperature, or a simple combination of various meteorological factors such as temperature and humidity Considering the lack of consideration of nonlinear combinations such as temper...

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