A Survey on Non-Intrusive Load Monitoring Methodies and Techniques for Energy Disaggregation Problem. - Anthony Faustine; Nerey Henry Mvungi; Shubi Felix Kaijage; Michael Kisangiri (CoRR, 2017)

On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring. - Christoph Klemenjak; Anthony Faustine; Stephen Makonin; Wilfried Elmenreich (CoRR, 2019)

UNet-NILM: A Deep Neural Network for Multi-tasks Appliances State Detection and Power Estimation in NILM. - Anthony Faustine; Lucas Pereira; Hafsa Bousbiat; Shridhar Kulkarni (NILM@SenSys, 2020)

Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring. - Anthony Faustine; Lucas Pereira; Christoph Klemenjak (IEEE Trans. Smart Grid, 2021)

Appliance recognition with combined single- and multi-label approaches. - Marco Manolo Manca; Anthony Faustine; Lucas Pereira (BuildSys, 2022)

FPSeq2Q: Fully Parameterized Sequence to Quantile Regression for Net-Load Forecasting With Uncertainty Estimates. - Anthony Faustine; Lucas Pereira (IEEE Trans. Smart Grid, 2022)

Applying Symmetrical Component Transform for Industrial Appliance Classification in Non-Intrusive Load Monitoring. - Anthony Faustine; Lucas Pereira (ICASSP, 2023)

Unlocking the Full Potential of Neural NILM: On Automation, Hyperparameters, and Modular Pipelines. - Hafsa Bousbiat; Anthony Faustine; Christoph Klemenjak; Lucas Pereira; Wilfried Elmenreich (IEEE Trans. Ind. Informatics, 2023)

Conformal Multilayer Perceptron-Based Probabilistic Net-Load Forecasting for Low-Voltage Distribution Systems with Photovoltaic Generation. - Anthony Faustine; Lucas Pereira (SmartGridComm, 2024)