Performance evaluation in non‐intrusive load monitoring: Datasets, metrics, and tools—A review L Pereira, N Nunes Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (6 …, 2018 | 199 | 2018 |
Adaptive weighted recurrence graphs for appliance recognition in non-intrusive load monitoring A Faustine, L Pereira, C Klemenjak IEEE Transactions on Smart Grid 12 (1), 398-406, 2020 | 97 | 2020 |
SustData: A public dataset for ICT4S electric energy research L Pereira, F Quintal, R Gonçalves, NJ Nunes ICT for sustainability 2014 (ICT4S-14), 359-368, 2014 | 85 | 2014 |
UNet-NILM: A Deep Neural Network for Multi-tasks Appliances State Detection and Power Estimation in NILM A Faustine, L Pereira, H Bousbiat, S Kulkarni Proceedings of the 5th International Workshop on Non-Intrusive Load …, 2020 | 84 | 2020 |
Improved Appliance Classification in Non-Intrusive Load Monitoring Using Weighted Recurrence Graph and Convolutional Neural Networks A Faustine, L Pereira Energies 13 (13), 3374, 2020 | 58 | 2020 |
PB-NILM: PinBall Guided Deep Non-Intrusive Load Monitoring E Gomes, L Pereira IEEE Access, 2020 | 57 | 2020 |
Understanding families’ motivations for sustainable behaviors ML Barreto, A Szóstek, E Karapanos, NJ Nunes, L Pereira, F Quintal Computers in Human Behavior 40, 6-15, 2014 | 52 | 2014 |
Understanding the limitations of eco-feedback: a one-year long-term study L Pereira, F Quintal, M Barreto, NJ Nunes Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured …, 2013 | 52 | 2013 |
Watt’s up at home? Smart meter data analytics from a consumer-centric perspective B Völker, A Reinhardt, A Faustine, L Pereira Energies 14 (3), 719, 2021 | 50 | 2021 |
Arbitrage with Power Factor Correction using Energy Storage MU Hashmi, D Deka, A Busic, L Pereira, S Backhaus IEEE Transactions on Power Systems, 2020 | 49 | 2020 |
Multi-Label Learning for Appliance Recognition in NILM Using Fryze-Current Decomposition and Convolutional Neural Network A Faustine, L Pereira Energies 13 (16), 4154, 2020 | 48 | 2020 |
Electricity consumption data sets: Pitfalls and opportunities C Klemenjak, A Reinhardt, L Pereira, S Makonin, M Bergés, ... Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019 | 41 | 2019 |
Implementation Strategy of Convolution Neural Networks on Field Programmable Gate Arrays for Appliance Classification Using the Voltage and Current (VI) Trajectory D Baptista, S Mostafa, L Pereira, L Sousa, F Morgado-Dias Energies 11 (9), 2460, 2018 | 41 | 2018 |
Developing and Evaluating a Probabilistic Event Detector for Non-Intrusive Load Monitoring L Pereira 2017 Sustainable Internet and ICT for Sustainability (SustainIT), 2017 | 41 | 2017 |
SustDataED: A public dataset for electric energy disaggregation research M Ribeiro, L Pereira, F Quintal, N Nunes ICT for Sustainability 2016, 244-245, 2016 | 39 | 2016 |
The design of a hardware-software platform for long-term energy eco-feedback research L Pereira, F Quintal, N Nunes, M Bergés Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive …, 2012 | 39 | 2012 |
WATTSBurning: Design and evaluation of an innovative eco-feedback system F Quintal, L Pereira, N Nunes, V Nisi, M Barreto Human-Computer Interaction–INTERACT 2013: 14th IFIP TC 13 International …, 2013 | 37 | 2013 |
A Comparison of Performance Metrics for Event Classification in Non-Intrusive Load Monitoring L Pereira, N Nunes IEEE International Conference on Smart Grid Communications, 171-176, 2017 | 35 | 2017 |
FPSeq2Q: Fully Parameterized Sequence to Quantile Regression for Net-Load Forecasting With Uncertainty Estimates A Faustine, L Pereira IEEE Transactions on Smart Grid 13 (3), 2440-2451, 2022 | 34 | 2022 |
Energy storage in Madeira, Portugal: co-optimizing for arbitrage, self-sufficiency, peak shaving and energy backup MU Hashmi, L Pereira, A Bušić 2019 IEEE Milan PowerTech, 1-6, 2019 | 30 | 2019 |