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

, , , and . CoRR, (2019)

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Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation., , and . ISGT, page 1-5. IEEE, (2020)Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring., , and . IEEE Trans. Smart Grid, 12 (1): 398-406 (2021)On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring., , , and . CoRR, (2019)On the applicability of correlation filters for appliance detection in smart meter readings., and . SmartGridComm, page 171-176. IEEE, (2017)On the Relationship between Seasons of the Year and Disaggregation Performance., , and . NILM@SenSys, page 70-74. ACM, (2020)On performance evaluation and machine learning approaches in non-intrusive load monitoring.. Energy Inform., (2018)YoMo - The Arduino based Smart Metering Board., , and . CoRR, (2014)Yay - an open-hardware energy measurement system for feedback and appliance detection based on the arduino platform., and . WISES, page 1-8. IEEE, (2017)Exploring Time Series Imaging for Load Disaggregation., , and . BuildSys@SenSys, page 254-257. ACM, (2020)Electricity Consumption Data Sets: Pitfalls and Opportunities., , , , , and . BuildSys@SenSys, page 159-162. ACM, (2019)