Method for predicting investment for power transmission and transformation projects for power grids on basis of particle swarm algorithms
A particle swarm algorithm and prediction method technology, applied in the field of electric power engineering, can solve problems such as the inability to quickly and effectively guide the cost, affect the enthusiasm and creativity of investors and managers, and achieve the effect of reducing the influence of subjective factors
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[0017] The prediction method of the present invention comprises:
[0018] (1) Analysis of key indicators of power transmission and transformation project cost investment forecast
[0019] Detailed analysis of the development of power transmission and transformation projects, the principle of cost investment forecasting of power transmission and transformation projects, through the comparative analysis of literature, excavate the advantages and disadvantages of power transmission and transformation project cost investment forecasting, and summarize the influencing factors of power transmission and transformation project cost investment forecasting, Including the external environment, market factors and project construction scale;
[0020] In order to more scientifically explore the applicability of key indicators of power transmission and transformation project investment prediction in the present invention, the present invention uses mathematical statistical tools such as prin...
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