COMPARATIVE MULTI-CRITERIA ASSESSMENT OF EXISTING DATA RELIABILITY OF POWER CONSUMPTION MONITORING METHODS IN AIIS KUE

Timchuk Alexey Igorevich, Dubenko Yuri Vladimirovich

The article provides a comparative multi-criteria assessment of two currently existing methods for monitoring data reliability in AIIS KUE, conventionally called "clusterization" and "increase of meter surveys frequency." Many different indicators related to the cost of methods implementation and the quality of monitoring the metering data reliability were chosen as the estimated parameters, and a set of criteria consisting of multiplicative, additive, and ideal point distance criteria with different weights was chosen for their evaluation. As a result of the compared methods evaluation, conclusions were made about their shortcomings and effectiveness.

Keywords:AIIS KUE, data reliability control, comparative assessment, criteria set.