2023.10.08
Overview
An electricity consumption pattern classification method in the present invention involves, initially, reading multiple training electricity usage consumption data sets. After which, perform a first round of classification with a first machine learning clustering algorithm according to the electricity consumption characteristics of the training electricity consumption data sets, generating multiple first-order electricity consumption data groups. Then, second-order feature values of the training electricity consumption data sets are generated with a feature extraction algorithm, and a second round of classification with a second machine learning clustering algorithm is performed according to the generating second-order electricity consumption data groups under the first-order electricity consumption data groups. When receiving a tobe-classified electricity consumption data set, the electricity consumption pattern classification result of the electricity consumption data set is determined according to the average similarity between the to-be-classified electricity consumption data set and each second-order electricity consumption data group. The second-order electricity consumption data groups produced by the two-stage classification accurately represent the different electricity consumption patterns in the data sets, thereby providing precise electricity consumption pattern classification results.Category
發明
Applying
2.02E+11
Filing Date
2023.10.08Notification
2025.11.21