A multi-section electric power quotation curve similarity judgment method and device

• Main Authors: LIU SIJIE, ZHAO YUE, GAO HAIXIANG, BAI YANG, LIN SHAOHUA, CAI QIUNA, GONG CHAO
• Format: Patent
• Language: Chinese; English
• Published: 22.06.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a multi-section electric power quotation curve similarity judgment method and device. The method comprises the steps of obtaining spot quotation data of a market subject and performing per-unit processing on the spot quotation data to form a point set P; performing density clustering on the quotation points in the point set P according to a preset optimization variable constraint condition, and outputting a density clustering result; performing optimization calculation on a preset objective function based on the density clustering result, and obtaining a neighborhood radius of an optimal cluster and a cluster, a core point, classified points and unclassified points corresponding to the neighborhood radius; and screening out unit clusters with similar quotation according to the neighborhood radius of the optimal cluster and the corresponding cluster, the core point, the classified points and the unclassified points. According to the invention, the clustering parameters are optimized, so