Functional Intrusive Load Monitor (FILM): A Model-based Platform for Non-Intrusive Load Monitoring System Development

TL;DR

The paper introduces FILM, a model-based platform for developing NILM systems that allows presetting appliance states and monitoring electrical parameters, addressing data collection challenges.

Contribution

It presents a novel platform, FILM, enabling controlled appliance activity simulation and comprehensive electrical parameter monitoring for NILM research.

Findings

Facilitates faster NILM system development without extensive data collection.

Allows precise control of appliance states and activities.

Supports monitoring of multiple electrical parameters like harmonics and power factor.

Abstract

Non-Intrusive Load Monitoring (NILM) is an important application to monitor household appliance activities and provide related information to house owner or/and utility company via a single sensor installed at the electrical entry of the house. It can be used for different purposes in residential and industrial sectors. Thus, an increasing number of new algorithms have been developed in recent years. In these algorithms, researchers either use existing public datasets or collect their own data which causes such problems as insufficiency of electrical parameters, missing of ground-truth data, absence of many appliances, and lack of appliance information. To solve these problems, this paper presents a model-based platform for NILM system development, namely Functional Intrusive Load Monitor (FILM). By using this platform, the state transitions and activities of all the involved appliances can be preset by researchers, and multiple electrical parameters such as harmonics and power factor can be monitored or calculated. This platform will help researchers save the time of collecting experimental data, utilize precise control of individual appliance activities, and develop load signatures of devices. This paper describes the steps, structure, and requirements of building this platform. Case study is presented to help understand this platform.