Lucas Pereira

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Nuno Jardim NunesITI, LARSyS, Carnegie Mellon University, Instituto Superior TécnicoVerified email at tecnico.ulisboa.pt
Filipe QuintalITI/LARSyS, University of MadeiraVerified email at m-iti.org
Anthony FaustineLead data scientist, EatonVerified email at eaton.com
Ana BusicInria, Computer Science Department at École normale supérieureVerified email at ens.fr
Mary BarretoITI, LARSyS, Universidade da MadeiraVerified email at staff.uma.pt
Hugo MoraisINESC-IDVerified email at tecnico.ulisboa.pt
Md Umar HashmiResearch Expert, KU Leuven & EnergyVilleVerified email at KULEUVEN.BE
Eduardo GomesITI, LARSyS, INESC-ID, Ph.D. candidate at Instituto Superior TécnicoVerified email at m-iti.org
Christoph KlemenjakResearch Assistant @ University of KlagenfurtVerified email at ieee.org
Mario BergésProfessor, Civil and Environmental Engineering Department, Carnegie Mellon UniversityVerified email at cmu.edu
Andreas ReinhardtTU ClausthalVerified email at tu-clausthal.de
Deepjyoti DekaResearch Scientist, MIT Energy Initiative, former-Los Alamos National LaboratoryVerified email at mit.edu
Valentina NisiITI, LARSyS, Instituto Superior Tecnico, U.LisbonVerified email at tecnico.ulisboa.pt
Miguel RibeiroITI / LARSYS, Instituto Superior Técnico (IST)Verified email at tecnico.ulisboa.pt
Scott BackhausNational Institute of Standards and TechnologyVerified email at nist.gov
Hafsa BousbiatSenior researcher, Klagenfurt UniversityVerified email at ieee.org
Fábio VasconcelosITI (Interactive Technologies Institute)Verified email at m-iti.org
Morgado-DiasAssociate Professor at the University of Madeira, Interactive Technologies Institute (ITI/LARSyS)Verified email at uma.pt
Benjamin VölkerUniversity of FreiburgVerified email at informatik.uni-freiburg.de
Wilfried ElmenreichProfessor of Smart Grids, University of KlagenfurtVerified email at aau.at

Lucas Pereira

ITI, LARSyS, Instituto Superior Técnico, Universidade de Lisboa

Verified email at tecnico.ulisboa.pt - Homepage

Energy Informatics Computational Sustainability Data Science Machine Learning Human-in-the-Loop


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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	206	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	101	2020
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	89	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
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	60	2020
PB-NILM: PinBall Guided Deep Non-Intrusive Load Monitoring E Gomes, L Pereira IEEE Access, 2020	59	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	56	2021
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	54	2014
Arbitrage with Power Factor Correction using Energy Storage MU Hashmi, D Deka, A Busic, L Pereira, S Backhaus IEEE Transactions on Power Systems, 2020	52	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	52	2013
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	49	2020
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	43	2022
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	43	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	42	2018
Developing and Evaluating a Probabilistic Event Detector for Non-Intrusive Load Monitoring L Pereira 2017 Sustainable Internet and ICT for Sustainability (SustainIT), 2017	42	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
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	39	2013
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
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
A residential labeled dataset for smart meter data analytics L Pereira, D Costa, M Ribeiro Scientific Data 9 (1), 134, 2022	32	2022

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