フォロー
Lucas Pereira
Lucas Pereira
ITI, LARSyS, Instituto Superior Técnico, Universidade de Lisboa
確認したメール アドレス: tecnico.ulisboa.pt - ホームページ
タイトル
引用先
引用先
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
1992018
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
972020
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
852014
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
842020
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
582020
PB-NILM: PinBall Guided Deep Non-Intrusive Load Monitoring
E Gomes, L Pereira
IEEE Access, 2020
572020
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
522014
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
522013
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
502021
Arbitrage with Power Factor Correction using Energy Storage
MU Hashmi, D Deka, A Busic, L Pereira, S Backhaus
IEEE Transactions on Power Systems, 2020
492020
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
482020
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
412019
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
412018
Developing and Evaluating a Probabilistic Event Detector for Non-Intrusive Load Monitoring
L Pereira
2017 Sustainable Internet and ICT for Sustainability (SustainIT), 2017
412017
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
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
392012
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
372013
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
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
342022
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
302019
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