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Towards Comparability in Non-Intrusive Load Monitoring: On Data and
  Performance Evaluation

Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation

IEEE PES Innovative Smart Grid Technologies Conference (ISGT), 2020
20 January 2020
Christoph Klemenjak
S. Makonin
W. Elmenreich
ArXiv (abs)PDFHTML

Papers citing "Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation"

7 / 7 papers shown
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
Christian Internò
Andrea Castellani
S. Schmitt
Fabio Stella
Barbara Hammer
220
1
0
25 Jun 2025
On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks
On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks
Hafsa Bousbiat
Yassine Himeur
Abbes Amira
Shadi Atalla
AAML
175
1
0
14 Jul 2023
Towards trustworthy Energy Disaggregation: A review of challenges,
  methods and perspectives for Non-Intrusive Load Monitoring
Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load MonitoringItalian National Conference on Sensors (INS), 2022
Maria Kaselimi
Eftychios E. Protopapadakis
A. Voulodimos
N. Doulamis
Anastasios Doulamis
202
93
0
05 Jul 2022
NILM as a regression versus classification problem: the importance of
  thresholding
NILM as a regression versus classification problem: the importance of thresholdingJournal of Supercomputing (JS), 2020
D. Precioso
D. Gómez‐Ullate
72
13
0
28 Oct 2020
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model
  Performance in Non-Intrusive Load Monitoring
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring
Richard Jones
Christoph Klemenjak
S. Makonin
Ivan V. Bajić
105
3
0
16 Sep 2020
Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring
Augmenting an Assisted Living Lab with Non-Intrusive Load MonitoringInternational Instrumentation and Measurement Technology Conference (I2MTC), 2020
Hafsa Bousbiat
Christoph Klemenjak
G. Leitner
W. Elmenreich
167
15
0
13 Feb 2020
On Metrics to Assess the Transferability of Machine Learning Models in
  Non-Intrusive Load Monitoring
On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring
Christoph Klemenjak
A. Faustine
S. Makonin
W. Elmenreich
103
18
0
12 Dec 2019
1
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