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Multi-model fusion evaluation system

An evaluation system and multi-model technology, applied in the direction of instruments, data processing applications, calculations, etc., can solve the problems of inaccurate model evaluation results, difficult selection of energy efficiency calculation features, etc., and achieve good practical engineering application value and good classification prediction and the effect of cluster analysis

Inactive Publication Date: 2017-10-27
重庆华龙强渝信用管理有限公司
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Problems solved by technology

[0003] The purpose of the present invention is to propose a multi-model fusion evaluation system in order to solve the problems of difficult selection of existing energy efficiency calculation features and inaccurate model evaluation results

Method used

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specific Embodiment approach 1

[0017] Specific implementation manner 1: The specific steps of a multi-model fusion evaluation system are:

[0018] Step 1: Normalize the data to obtain a normalized training set;

[0019] Step 2: Perform feature selection on the normalized training set obtained in Step 1;

[0020] Step 3: Establish a multi-classifier fusion evaluation model according to Step 1 and Step 2, and obtain the classification result of energy efficiency evaluation;

[0021] Step 4: Perform cluster analysis on the classification results obtained in Step 3 to obtain the final clustering results.

specific Embodiment approach 2

[0022] Specific embodiment two: this embodiment is different from specific embodiment one in that: the data in step one specifically includes: primary energy production, total energy consumption, energy consumption elasticity coefficient, GDP, energy industry investment amount, unit GDP energy consumption, capital stock, and sulfur dioxide emission coefficient.

[0023] Other steps and parameters are the same as in the first embodiment.

specific Embodiment approach 3

[0024] Specific embodiment three: This embodiment is different from specific embodiment one or two in that: in the step one, the data is normalized, and the specific process of obtaining the normalized training set is:

[0025] Collect panel data from many provinces, municipalities and autonomous regions across the country, and carry out standardized preprocessing of the data. The standardization of the data is to scale the data proportionally, remove the unit limit of the data, and convert it into a dimensionless pure value, which is convenient for comparison and weighting. 0-1 standardization (also called normalization) is the most typical method of data standardization, which makes the result fall into the interval [0,1] by linear transformation of the original data. Considering that the characteristic values ​​in the data set used in the present invention are all positive values, a simplified conversion function is used to normalize each component. If there are N samples, th...

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Abstract

A multi-model fusion evaluation system, the invention relates to a multi-model fusion evaluation system. The present invention solves the problems of difficult selection of existing energy efficiency calculation features and inaccurate model evaluation results. The steps of the present invention are: Step 1: normalize the data to obtain a normalized training set; Step 2: perform feature selection on the normalized training set obtained in Step 1; The combined fusion method selects features; that is, after the feature ranking is obtained by information gain calculation, the principal component analysis method is used to do the check calculation. Step 3: Establish a multi-classifier fusion evaluation model based on Step 1 and Step 2 to obtain the classification results of energy efficiency evaluation; Step 4: Perform cluster analysis on the classification results obtained in Step 3 to obtain the final cluster results. The invention is applied in the field of effective evaluation of energy efficiency.

Description

Technical field [0001] The invention relates to a multi-model fusion evaluation system. Background technique [0002] With the increasingly prominent energy and environmental issues, energy efficiency evaluation methods have also received increasing attention. Many scholars in the world have studied the improvement of energy efficiency and energy saving potential from different angles. Take China as an example. In recent years, the economy has maintained rapid and strong development, but the economic growth method is still very extensive. The current situation of high resource and energy consumption, low utilization rate, and serious environmental pollution is still an indisputable fact. Energy efficiency is international Shanghai is still in a backward stage. At present, China's unreasonable energy consumption structure dominated by coal has seriously affected the energy utilization efficiency of the entire energy system, posing a challenge to the sustainable development of so...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/00G06Q50/02
CPCG06Q50/00G06Q50/02
Inventor 戴佳毅
Owner 重庆华龙强渝信用管理有限公司
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