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Lucas Pereira
Lucas Pereira
ITI, LARSyS, Instituto Superior Técnico, Universidade de Lisboa
Verified email at tecnico.ulisboa.pt - Homepage
Title
Cited by
Cited by
Year
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
2142018
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
1052020
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
922020
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
902014
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
632020
PB-NILM: PinBall Guided Deep Non-Intrusive Load Monitoring
E Gomes, L Pereira
IEEE Access, 2020
592020
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
582021
Arbitrage with Power Factor Correction using Energy Storage
MU Hashmi, D Deka, A Busic, L Pereira, S Backhaus
IEEE Transactions on Power Systems, 2020
552020
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
552013
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
542014
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
522020
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
462022
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
462019
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
422018
Developing and Evaluating a Probabilistic Event Detector for Non-Intrusive Load Monitoring
L Pereira
2017 Sustainable Internet and ICT for Sustainability (SustainIT), 2017
422017
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
402013
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
402012
SustDataED: A public dataset for electric energy disaggregation research
M Ribeiro, L Pereira, F Quintal, N Nunes
ICT for Sustainability 2016, 244-245, 2016
392016
A residential labeled dataset for smart meter data analytics
L Pereira, D Costa, M Ribeiro
Scientific Data 9 (1), 134, 2022
372022
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
352017
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