ПРИМЕНЕНИЕ ИНТЕЛЛЕКТУАЛЬНОГО АНАЛИЗА ДАННЫХ ДЛЯ РАСЧЕТА ПОТЕРИ ЭЛЕКТРОЭНЕРГИИ

Abstract

This study describes three different data retrieval methods to determine excessive energy consumption of lighting using hourly recorded data on energy consumption and maximum demand (maximum power). To determine abnormal consumption in a single data set, two methods are used to determine emissions for each class and cluster. In each class and cluster with abnormal consumption, the value of deviations from the norm is determined using a modified standard estimate. Since the study does not need to manually detect malfunctions or diagnose false warnings, it will be useful for creating energy management systems to reduce operating costs and time. In addition, it will be useful for developing a fault detection model and diagnosing the energy consumption of the entire building.