METHOD FOR CLASSIFICATION AND FORECAST OF REMOTE MEASURING POWER LOAD PATTERNS

PURPOSE: A method for classification and forecast of remote measuring power load patterns is provided to analyze the load characteristic and power usage behavior through the representative load patterns of a client by generating the representative load patterns by groups. CONSTITUTION: Remote measurement data are collected(1), and an error and an abnormal value are excluded from sample data(2). The normalization of pre-processed data is performed(3). After grouping normalized data, a representative load pattern is generated(4). Based on measurement facility property information, the load patterns are classified(7). On the basis of non-measured facility property, a group is allocated(9).