Near Real-Time Low Frequency Load Disaggregation

Sahrane Selim; Haddadi Mourad

Article Details

Near Real-Time Low Frequency Load Disaggregation

Authors:

Sahrane Selim | Haddadi Mourad

Publisher:

Ecole Nationale Polytechnique

Journal:

ENP Engineering Science Journal Vol.1 Issue 2, pp.50-54

Document Type:

Article

Publication Date:

12/2021

Document Language:

English

Document ID (Org No.):

2001542518

pISSN:

2773-4293

Keywords:

Abstract:

 Device-level power consumption information can lead to considerable energy savings. Smart meters are being adopted in several countries, but they are only capable of measuring the total power consumption. NonIntrusive Load Monitoring (NILM) aims to infer the power consumption of individual electrical loads by analyzing the aggregate power signal taken from a single-point measurement. Most existing NILM solutions are offline methods that do not allow the end-user to get real-time feedback on his energy consumption. In this paper, we present a near real-time NILM solution based on multi-label classification and multi-output regression. We use the multi-label classifier to predict the state of each load and use the multi-output regressor to estimate the disaggregated active power consumptions. We test our method using a publically available dataset of real power measurements. Performance results show that the proposed near real-time method can accurately estimate the energy consumption of the targeted loads with an average relative energy error of 1.55 %.

Article Details

Near Real-Time Low Frequency Load Disaggregation

Authors:

Sahrane Selim | Haddadi Mourad

Publisher:

Ecole Nationale Polytechnique

Journal:

ENP Engineering Science Journal Vol.1 Issue 2, pp.50-54

Document Type:

Article

Publication Date:

12/2021

Document Language:

English

Document ID (Org No.):

2001542518

pISSN:

2773-4293

NILM

Load Disaggregation

Multi-label Classification

Multi-output Regression

Energy Estimation

Smart Meters

Issues

Article Details

Near Real-Time Low Frequency Load Disaggregation

Authors: Sahrane Selim | Haddadi Mourad

Publisher: Ecole Nationale Polytechnique

Journal: ENP Engineering Science Journal Vol.1 Issue 2, pp.50-54

Document Type: Article

Publication Date: 12/2021

Document Language: English

Document ID (Org No.): 2001542518

pISSN: 2773-4293

NILM

Load Disaggregation

Multi-label Classification

Multi-output Regression

Energy Estimation

Smart Meters

Issues

Authors:

Sahrane Selim | Haddadi Mourad

Publisher:

Ecole Nationale Polytechnique

Journal:

ENP Engineering Science Journal Vol.1 Issue 2, pp.50-54

Document Type:

Article

Publication Date:

12/2021

Document Language:

English

Document ID (Org No.):

2001542518

pISSN:

2773-4293