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Short-term load processing method based on multidimensional meteorological factors of Fisher information processing

A technology of meteorological factors and processing methods, applied in data processing applications, instruments, forecasting, etc., can solve problems such as lack of universal adaptability, reduce network training time and forecasting time, reduce input layer variables, and have clear physical meanings. Effect

Inactive Publication Date: 2018-06-15
JIANGSU UNIV
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Problems solved by technology

The literature "Research on Short-term Forecasting of Meteorologically Sensitive Loads Based on New Human Comfort" "Proceedings of the Chinese Society for Electrical Engineering, 2017" proposed a human comfort index that comprehensively considers meteorological indicators such as haze, temperature, humidity, and wind force. The ratings of each index on the comfort degree vary with different time-space distribution characteristics, which makes this method not universally applicable. In addition, the pairwise comparison judgment matrix of comfort degree formed by each meteorological index is subjective.

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  • Short-term load processing method based on multidimensional meteorological factors of Fisher information processing
  • Short-term load processing method based on multidimensional meteorological factors of Fisher information processing
  • Short-term load processing method based on multidimensional meteorological factors of Fisher information processing

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[0056] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, the purpose is only to better understand the content of the present invention, therefore, this example does not limit the scope of protection of the present invention.

[0057] See attached figure 1 As shown, a flow chart of short-term load forecasting based on Fisher information processing multi-meteorological factors. Specifically include the following steps:

[0058] Step 1: Read and use the 2016.8.12-2016.8.14 network supply load data of Zhenjiang Electric Power Company, and make a 96-point forecast for the city's load on August 15, 2016.

[0059] Step 2: Analyze the historical sample data in step 1, construct a time series data set, and obtain the Fisher information window data of multidimensional meteorological factors corresponding to the load;

[0060] Step 3: Based on the Fisher information window data of multidimensional meteorologica...

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Abstract

The invention relates to a short-term load processing method based on multidimensional meteorological factors of Fisher information processing, comprising the following steps: analyzing historical sample data to obtain multidimensional meteorological factor Fisher information window data of a corresponding load; calculating the Fisher information value of the multidimensional meteorological factorFisher information window data on the basis; weighting the Fisher information value to obtain input variables of Fisher information weighting; and inputting the input variables and historical load data to an artificial intelligence prediction model. The comprehensive index is weighted through calculation of multidimensional meteorological factor Fisher information, so as to realize the coupling effect and cumulative effect of multiple meteorological factors on a load and realize accurate prediction of a weather-sensitive load.

Description

technical field [0001] The invention relates to the technical field of power system load forecasting, in particular to a method for processing short-term loads of multi-dimensional meteorological factors based on fisher information. Background technique [0002] Load forecasting is crucial to the efficient and reliable operation of power systems, and meteorological factors have a significant impact on short-term load forecasting. Among them, temperature has the greatest impact on load, followed by factors such as humidity, wind force, and precipitation. [0003] Studies have shown that compared with the correlation between single factors such as temperature and humidity and the load, the meteorological comprehensive index has a better tracking and description effect on the change of the load characteristic quantity, because people usually feel the outside world cold, hot, dry and wet based on temperature, humidity, etc. Formed under the combined effects of various meteorolo...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 蔡舒平刘琳孙华辰闫静
Owner JIANGSU UNIV
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