Abstract
Aiming at the problems of data confusion and poor management effect of the technical and economic decision support platform system for power grid infrastructure construction, the planning and design method of the technical and economic decision support platform system for power grid infrastructure construction is proposed. The k-means algorithm is used to optimize the system decision function, build a decision analysis model, and implement the platform system planning and design according to the dynamic changes among multiple entities. Experiments show that the clustering time of this method is less than 1 min, and the technical and economic decision support platform system of power grid infrastructure construction project can effectively screen and manage massive data to ensure the quality of decision.
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