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09/16/2020
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring
Non-Intrusive Load Monitoring (NILM) is a field of research focused on s...
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08/22/2020
Investigating the Performance Gap between Testing on Real and Denoised Aggregates in Non-Intrusive Load Monitoring
Prudent and meaningful performance evaluation of algorithms is essential...
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02/13/2020
Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring
The need for reducing our energy consumption footprint and the increasin...
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01/20/2020
Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation
Non-Intrusive Load Monitoring (NILM) comprises of a set of techniques th...
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12/12/2019
On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring
To assess the performance of load disaggregation algorithms it is common...
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10/04/2016
