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Method of predicting comprehensive energy consumption of power enterprise and equipment thereof

A technology for enterprises and energy consumption, applied in the field of energy consumption measurement, can solve problems such as difficulty in establishing a prediction model, low prediction accuracy, and large dependence on related independent variables

Inactive Publication Date: 2018-06-22
浙江中易慧能科技有限公司
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Problems solved by technology

This method is highly dependent on relevant independent variables, and it is necessary to find highly correlated variables and the prediction accuracy is not high, so it is difficult to establish an ideal prediction model

Method used

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  • Method of predicting comprehensive energy consumption of power enterprise and equipment thereof
  • Method of predicting comprehensive energy consumption of power enterprise and equipment thereof
  • Method of predicting comprehensive energy consumption of power enterprise and equipment thereof

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Embodiment Construction

[0056] The technical solution in this application will be described below in conjunction with the drawings.

[0057] The invention proposes a comprehensive energy consumption prediction method for power enterprises based on a support vector regression model. The present invention uses GB / T 2589-2008 "General Principles of Comprehensive Energy Consumption Calculation" as the standard to calculate the comprehensive energy consumption value of power enterprises (tons of standard coal), analyzes the monthly trend of comprehensive energy consumption of power enterprises, and analyzes the monthly monthly Electricity demand and industrial value-added changes. Parameter estimation algorithm is used to calculate the monthly comprehensive energy consumption trend value of electric power enterprises. The three-parameter time series model of level item, trend item and period item is used to analyze the province's monthly electricity demand and industrial value-added trend. The comprehensive ...

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Abstract

The invention provides a method of predicting the comprehensive energy consumption of a power enterprise. The method comprises steps: a parameter estimation method is adopted to train the comprehensive energy consumption value of the power enterprise in each of s historical months, and the comprehensive energy consumption trend value of the power enterprise in each of future m months is predicted;a time series algorithm is adopted to determine a power demand prediction value of a province of the enterprise in each of the future m months, and an industrial added value prediction value of the province in each of the future m months is determined; and a support vector regression model is adopted to determine the comprehensive energy consumption value of the power enterprise in each of the mmonths.

Description

Technical field [0001] This application relates to the field of energy consumption measurement, and more specifically, to a method and equipment for predicting the comprehensive energy consumption of a power enterprise. Background technique [0002] The power industry is a basic energy industry, but also one of the main energy resource consumption and pollutant emission industries. With the continuous advancement of industrialization and urbanization, my country's power demand and the scale of the power industry have also continued to expand, and problems such as energy consumption and environmental pollution in the power industry have become increasingly prominent. my country’s power industry consumes huge amounts of raw coal, fuel oil, natural gas and other energies. Raw coal consumption accounts for about 50% of the country’s total coal consumption, and sulfur dioxide emissions account for 55% of the country’s total emissions. This is a key area of ​​energy conservation and em...

Claims

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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 李佳鹤李鸿亮楼云霄何莹莹朱添夏
Owner 浙江中易慧能科技有限公司
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