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Non-Intrusive Load Monitoring

4 papers with code · Miscellaneous

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Transfer Learning for Non-Intrusive Load Monitoring

23 Feb 2019MingjunZhong/transferNILM

It is not clear if the method could be generalised or transferred to different domains, e. g., the test data were drawn from a different country comparing to the training data.

NON-INTRUSIVE LOAD MONITORING TRANSFER LEARNING

On time series representations for multi-label NILM

Neural Computing and Applications 2020 ChristoferNal/multi-nilm

Given only the main power consumption of a household, a non-intrusive load monitoring (NILM) system identifies which appliances are operating.

DIMENSIONALITY REDUCTION NON-INTRUSIVE LOAD MONITORING TIME SERIES

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

20 Jan 2020klemenjak/comparability

In this paper, we draw attention to comparability in NILM with a focus on highlighting the considerable differences amongst common energy datasets used to test the performance of algorithms.

NON-INTRUSIVE LOAD MONITORING

On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring

12 Dec 2019klemenjak/nilm-transferability-metrics

To assess the performance of load disaggregation algorithms it is common practise to train a candidate algorithm on data from one or multiple households and subsequently apply cross-validation by evaluating the classification and energy estimation performance on unseen portions of the dataset derived from the same households.

NON-INTRUSIVE LOAD MONITORING