Nonintrusive Load Monitoring for Machines used in Manufacturing

TL;DR

This paper introduces a nonintrusive load monitoring system that estimates individual machine energy consumption in manufacturing by analyzing aggregate electrical data, achieving over 85% accuracy in case studies.

Contribution

It presents a novel measurement system utilizing automatic disaggregation methods for energy demand estimation of manufacturing loads.

Findings

Achieved over 85% accuracy in load energy demand estimation.

Demonstrated effectiveness in two manufacturing case studies.

Abstract

In order to increase the electric energy efficiency of production machines, it is necessary to determine the energy demand of the constituent electric loads. Therefore, a new measurement system based on nonintrusive load monitoring is proposed in this paper. It only measures the voltage and current of the aggregate load and then uses automatic disaggregation methods to estimate the energy demand of the constituent loads. In two case studies, the energy demand of most loads could be determined with an accuracy of 85~\% or more in this way.