Lucas Pereira
Lucas Pereira
ITI, LARSyS, Instituto Superior Técnico, Universidade de Lisboa
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Cited by
Cited by
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
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
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
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
PB-NILM: PinBall Guided Deep Non-Intrusive Load Monitoring
E Gomes, L Pereira
IEEE Access, 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
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
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
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
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
Arbitrage with Power Factor Correction using Energy Storage
MU Hashmi, D Deka, A Busic, L Pereira, S Backhaus
IEEE Transactions on Power Systems, 2020
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
Developing and Evaluating a Probabilistic Event Detector for Non-Intrusive Load Monitoring
L Pereira
2017 Sustainable Internet and ICT for Sustainability (SustainIT), 2017
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
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
SustDataED: A public dataset for electric energy disaggregation research
M Ribeiro, L Pereira, F Quintal, N Nunes
ICT for Sustainability 2016, 244-245, 2016
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
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
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
Deploying and evaluating the effectiveness of energy eco-feedback through a low-cost NILM solution
NJ Nunes, L Pereira, F Quintal, M Berges
Proceedings of the 6th International Conference on Persuasive Technology, 2-5, 2011
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