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Improved substation engineering cost forecasting method

A technology of engineering cost and prediction method, applied in prediction, instrument, character and pattern recognition, etc., can solve the problems of LSSVM model penalty coefficient and blind selection of kernel coefficient, and achieve strong adaptability and stability, strong robustness, The effect of high prediction accuracy

Inactive Publication Date: 2018-12-18
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

However, the LSSVM model still has the problem of blind selection of penalty coefficients and kernel coefficients, so it is necessary to select a suitable intelligent algorithm to optimize it.

Method used

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  • Improved substation engineering cost forecasting method

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Embodiment Construction

[0064] Embodiments of the present invention are further described below in conjunction with the accompanying drawings,

[0065] Such as figure 1 As shown, the specific steps of this embodiment are as follows:

[0066] Step 1. Input index selection and data preprocessing for substation project cost forecasting:

[0067] In this embodiment, the construction nature of the power station project, substation type, topography, economic development level of the construction area, technical level of designers, construction progress level, floor area, substation voltage level, main transformer capacity, number of high-voltage side outgoing lines, low-voltage The number of side outgoing lines, construction period, number of transformers, inflation rate, single price of main transformer, unit price of high-voltage side circuit breaker, number of high-voltage side circuit breakers, quantity of low-voltage capacitors, price of high-voltage fuses, price of current transformers, price of pow...

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Abstract

The invention discloses an improved substation engineering cost prediction method belonging to the technical field of substation engineering cost prediction. The method includes the steps of 1, selecting input index of substation engineering cost prediction and data preprocessing; 2, establishing a prediction model of optimized LSSVM base on that fireworks algorithm; 3, inputting the input index data set obtained in step 1 into the prediction model obtained in step 2 to obtain the prediction result. The invention optimizes the coefficient of the LSSVM model through the fireworks algorithm, andthe prediction result obtained is higher in prediction precision and stronger in robustness than the basic LSSVM model and the support vector machine model. The model provided by the invention can beapplied to the cost level of substation engineering projects of different regions, different voltage grades and different scales, and can obtain ideal prediction effect, and the model constructed bythe invention has strong adaptability and stability.

Description

technical field [0001] The invention belongs to the field of substation project cost forecasting, and in particular relates to an improved substation project cost forecasting method. Background technique [0002] Poor control of substation project cost can easily lead to high cost, which will seriously affect the economy and sustainability of power engineering projects. The cost level prediction is an important part of the substation project cost control work, and it has important guiding significance for the cost saving of substation project construction. However, due to the fact that the actual power project cost process is affected by factors such as the overall planning of the power grid, total capacity, terrain characteristics, design and construction level, and the comprehensive economic level of the construction area, there are many historical data attribute indicators, and the construction projects in the same period are very limited. There are many comparable engin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06K9/62
CPCG06Q10/04G06F18/2411
Inventor 牛东晓王海潮李偲陈寒钰
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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