Energy Disaggregation Using Two-Stage Fusion of Binary Device Detectors

Energy Disaggregation Using Two-Stage Fusion of Binary Device Detectors

A data-driven methodology to improve the energy disaggregation accuracy during Non-Intrusive Load Monitoring is proposed. In detail, the method uses a two-stage classification scheme, with the first stage consisting of classification models processing the aggregated signal in parallel and each of th...

Bibliografiset tiedot
Päätekijät:	Pascal A. Schirmer, Iosif Mporas, Akbar Sheikh-Akbari
Aineistotyyppi:	Artikkeli
Kieli:	English
Julkaistu:	MDPI AG 2020-05-01
Sarja:	Energies
Aiheet:	energy disaggregation non-intrusive load monitoring regression fusion
Linkit:	https://www.mdpi.com/1996-1073/13/9/2148

Samankaltaisia teoksia

Robust energy disaggregation using appliance-specific temporal contextual information
Tekijä: Pascal Alexander Schirmer, et al.
Julkaistu: (2020-02-01)

Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation
Tekijä: Pascal A. Schirmer, et al.
Julkaistu: (2021-04-01)

Energy Disaggregation Using Elastic Matching Algorithms
Tekijä: Pascal A. Schirmer, et al.
Julkaistu: (2020-01-01)

Device and Time Invariant Features for Transferable Non-Intrusive Load Monitoring
Tekijä: Pascal A. Schirmer, et al.
Julkaistu: (2022-01-01)

2D Transformations of Energy Signals for Energy Disaggregation
Tekijä: Pascal A. Schirmer, et al.
Julkaistu: (2022-09-01)

MC-NILM: A Multi-Chain Disaggregation Method for NILM
Tekijä: Hao Ma, et al.
Julkaistu: (2021-07-01)

Disaggregating Transform Learning for Non-Intrusive Load Monitoring
Tekijä: Megha Gaur, et al.
Julkaistu: (2018-01-01)

A Novel Non-Intrusive Load Monitoring Algorithm for Unsupervised Disaggregation of Household Appliances
Tekijä: D. Criado-Ramón, et al.
Julkaistu: (2024-02-01)

A Fusion Load Disaggregation Method Based on Clustering Algorithm and Support Vector Regression Optimization for Low Sampling Data
Tekijä: Quanbo Yuan, et al.
Julkaistu: (2019-02-01)

A Bayesian Approach to Unsupervised, Non-Intrusive Load Disaggregation
Tekijä: Luca Massidda, et al.
Julkaistu: (2022-06-01)

Low-complexity energy disaggregation using appliance load modelling
Tekijä: Hana Altrabalsi, et al.
Julkaistu: (2016-01-01)

Variational Regression for Multi-Target Energy Disaggregation
Tekijä: Nikolaos Virtsionis Gkalinikis, et al.
Julkaistu: (2023-02-01)

Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey
Tekijä: Ahmed Zoha, et al.
Julkaistu: (2012-12-01)

The ‘SmartNIALMeter’ electrical appliance disaggregation dataset
Tekijä: Manuel Vogel, et al.
Julkaistu: (2024-10-01)

Unsupervised approach for load disaggregation with devices interactions
Tekijä: Aiad, Misbah, et al.
Julkaistu: (2016)

Benchmarking Optimization-Based Energy Disaggregation Algorithms
Tekijä: Oladayo S. Ajani, et al.
Julkaistu: (2022-02-01)

Neural Fourier Energy Disaggregation
Tekijä: Christoforos Nalmpantis, et al.
Julkaistu: (2022-01-01)

A power extraction approach with load state modification for energy disaggregation
Tekijä: Yusen Zhang, et al.
Julkaistu: (2025-01-01)

Optimization-Based Energy Disaggregation: A Constrained Multi-Objective Approach
Tekijä: Jeewon Park, et al.
Julkaistu: (2023-01-01)

Energy disaggregation of overlapping home appliances consumptions using a cluster splitting approach
Tekijä: Aiad, Misbah, et al.
Julkaistu: (2020)

An Iterative Load Disaggregation Approach Based on Appliance Consumption Pattern
Tekijä: Huijuan Wang, et al.
Julkaistu: (2018-04-01)

Non-Intrusive Load Disaggregation by Convolutional Neural Network and Multilabel Classification
Tekijä: Luca Massidda, et al.
Julkaistu: (2020-02-01)

Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural Network
Tekijä: Veronica Piccialli, et al.
Julkaistu: (2021-02-01)

Non-Intrusive Load Monitoring (NILM) for Energy Disaggregation Using Soft Computing Techniques
Tekijä: Cristina Puente, et al.
Julkaistu: (2020-06-01)

Low-Rate Non-Intrusive Load Disaggregation with Graph Shift Quadratic Form Constraint
Tekijä: Bing Qi, et al.
Julkaistu: (2018-04-01)

DRA-net: A new deep learning framwork for non-intrusive load disaggregation
Tekijä: Fang Yu, et al.
Julkaistu: (2023-02-01)

Modelling the Disaggregated Demand for Electricity in Residential Buildings Using Artificial Neural Networks (Deep Learning Approach)
Tekijä: Tomasz Jasiński
Julkaistu: (2020-03-01)

A Design and Comparative Analysis of a Home Energy Disaggregation System Based on a Multi-Target Learning Framework
Tekijä: Bundit Buddhahai, et al.
Julkaistu: (2023-03-01)

A Field Study of Nonintrusive Load Monitoring Devices and Implications for Load Disaggregation
Tekijä: Ebony Mayhorn, et al.
Julkaistu: (2023-10-01)

Non-Intrusive Load Disaggregation Based on a Feature Reused Long Short-Term Memory Multiple Output Network
Tekijä: Yifan Fang, et al.
Julkaistu: (2022-07-01)

IMPEC: An Integrated System for Monitoring and Processing Electricity Consumption in Buildings
Tekijä: Mohamed Aymane Ahajjam, et al.
Julkaistu: (2020-02-01)

Disaggregated Memory in the Datacenter: A Survey
Tekijä: Mohammad Ewais, et al.
Julkaistu: (2023-01-01)

Near Real-Time Low Frequency Load Disaggregation
Tekijä: Selim Sahrane, et al.
Julkaistu: (2021-12-01)

A Data-Centric Analysis of the Impact of Non-Electric Data on the Performance of Load Disaggregation Algorithms
Tekijä: João Góis, et al.
Julkaistu: (2022-09-01)

A data-driven approach for the disaggregation of building-sector heating and cooling loads from hourly utility load data
Tekijä: Yinbo Hu, et al.
Julkaistu: (2023-09-01)

Synergistic Non-Intrusive Load Monitoring: Dual-Model Training and Inference for Improved Load Disaggregation Prediction
Tekijä: Mazen Bouchur, et al.
Julkaistu: (2025-01-01)

Non-Intrusive Load Disaggregation Using Sequence-to-Point Integrating External Attention Mechanism
Tekijä: LI Lijuan, LIU Hai, LIU Hongliang, ZHANG Qingsong, CHEN Yongdong
Julkaistu: (2024-06-01)

MORED: A Moroccan Buildings’ Electricity Consumption Dataset
Tekijä: Mohamed Aymane Ahajjam, et al.
Julkaistu: (2020-12-01)

Distributed memory access architecture and control for fully disaggregated datacenter network
Tekijä: Kyeong-Eun Han, et al.
Julkaistu: (2022-12-01)

EnerGAN++: A Generative Adversarial Gated Recurrent Network for Robust Energy Disaggregation
Tekijä: Maria Kaselimi, et al.
Julkaistu: (2021-01-01)