Lucas Pereira


Biography
Lucas Pereira received his Ph.D. in Computer Science from the University of Madeira, Portugal, in 2016. Since then, he has been at ITI/LARSyS, leading the Further Energy and Environment research Laboratory (FEELab). Since 2019 he has been an Assistant Researcher at Instituto Superior Técnico, University of Lisbon. Lucas’s research applies data science, machine learning, and human-computer interaction techniques toward bridging the gap between laboratory and real-world applicability of ICT for sustainable development goals (SDGs). His current research focuses on future energy systems and sustainable built environments, and it typically involves the real-world deployment and evaluation of monitoring technologies and software systems.
Related Projects
Publications
2023
Unlocking the Full Potential of Neural NILM: On Automation, Hyperparameters, and Modular Pipelines Journal Article
In: IEEE Trans. Ind. Informatics, vol. 19, no. 5, pp. 7002–7010, 2023.
PROCSIM: An Open-Source Simulator to Generate Energy Community Power Demand and Generation Scenarios Journal Article
In: Energies, vol. 16, no. 4, pp. 1611, 2023.
2022
A Data-Centric Analysis of the Impact of Non-Electric Data on the Performance of Load Disaggregation Algorithms Journal Article
In: Sensors, vol. 22, no. 18, pp. 6914, 2022.
FPSeq2Q: Fully Parameterized Sequence to Quantile Regression for Net-Load Forecasting With Uncertainty Estimates Journal Article
In: IEEE Trans. Smart Grid, vol. 13, no. 3, pp. 2440–2451, 2022.
Privacy protection in smart meters using homomorphic encryption: An overview Journal Article
In: WIREs Data Mining Knowl. Discov., vol. 12, no. 4, 2022.
Appliance recognition with combined single- and multi-label approaches Inproceedings
In: BuildSys@SenSys, pp. 388–392, ACM, 2022.
Impact of forecasting models errors in a peer-to-peer energy sharing market Journal Article
In: Energies, vol. 15, no. 10, pp. 3543, 2022.
2021
FIKWaste: A Waste Generation Dataset from Three Restaurant Kitchens in Portugal Journal Article
In: Data, vol. 6, no. 3, pp. 25, 2021.
FIKWater: A Water Consumption Dataset from Three Restaurant Kitchens in Portugal Journal Article
In: Data, vol. 6, no. 3, pp. 26, 2021.
Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring Journal Article
In: IEEE Trans. Smart Grid, vol. 12, no. 1, pp. 398–406, 2021.
Computer Supported Collaborative Learning for Programming: A Systematic Review Inproceedings
In: CSEDU (2), pp. 184–191, SCITEPRESS, 2021.
Towards pro-social load balancing in energy communities Inproceedings
In: BuildSys@SenSys, pp. 240–241, ACM, 2021.
2020
PB-NILM: Pinball Guided Deep Non-Intrusive Load Monitoring Journal Article
In: IEEE Access, vol. 8, pp. 48386–48398, 2020.
Understanding the challenges behind Electric Vehicle usage by drivers - a case study in the Madeira Autonomous Region Inproceedings
In: ICT4S, pp. 88–97, ACM, 2020.
Sizing and Profitability of Energy Storage for Prosumers in Madeira, Portugal Inproceedings
In: ISGT, pp. 1–5, IEEE, 2020.
On the Relationship between Seasons of the Year and Disaggregation Performance Inproceedings
In: NILM@SenSys, pp. 70–74, ACM, 2020.
UNet-NILM: A Deep Neural Network for Multi-tasks Appliances State Detection and Power Estimation in NILM Inproceedings
In: NILM@SenSys, pp. 84–88, ACM, 2020.
Towards Phase Balancing using Energy Storage Journal Article
In: CoRR, vol. abs/2002.04177, 2020.
Energy Storage Optimization for Grid Reliability Journal Article
In: CoRR, vol. abs/2004.08770, 2020.
A global monitoring system for electricity consumption and production of household roof-top PV systems in Madeira Journal Article
In: Neural Comput. Appl., vol. 32, no. 20, pp. 15835–15844, 2020.
2019
In: Energy Reports, vol. 6, pp. 41-56, 2019, ISSN: 2352-4847.
dsCleaner: A Python Library to Clean, Preprocess and Convert Non-Instrusive Load Monitoring Datasets Journal Article
In: Data, vol. 4, no. 3, pp. 123, 2019.
NILMPEds: A Performance Evaluation Dataset for Event Detection Algorithms in Non-Intrusive Load Monitoring Journal Article
In: Data, vol. 4, no. 3, pp. 127, 2019.
A Mouse (H)Over a Hotspot Survey: An Exploration of Patterns of Hesitation through Cursor Movement Metrics Inproceedings
In: CHI Extended Abstracts, ACM, 2019.
MyTukxi: Low Cost Smart Charging for Small Scale EVs Inproceedings
In: CHI Extended Abstracts, ACM, 2019.
The Acceptance of Energy Monitoring Technologies - the Case of Local Prosumers Inproceedings
In: ICT4S, CEUR-WS.org, 2019.
On the Value Proposition of Battery Energy Storage in Self-Consumption Only Scenarios: A Case-Study in Madeira Island Inproceedings
In: IECON, pp. 4569–4574, IEEE, 2019.
Electricity Consumption Data Sets: Pitfalls and Opportunities Inproceedings
In: BuildSys@SenSys, pp. 159–162, ACM, 2019.
Future Industrial Kitchen: Challenges and Opportunities Inproceedings
In: BuildSys@SenSys, pp. 163–164, ACM, 2019.
Ultrasonic waste monitoring in the future industrial kitchen: poster abstract Inproceedings
In: SenSys, pp. 446–447, ACM, 2019.
Arbitrage with Power Factor Correction using Energy Storage Journal Article
In: CoRR, vol. abs/1903.06132, 2019.
Energy Storage in Madeira, Portugal: Co-optimizing for Arbitrage, Self-Sufficiency, Peak Shaving and Energy Backup Journal Article
In: CoRR, vol. abs/1904.00463, 2019.
2018
In: Energies, vol. 11, pp. 2460, 2018, ISSN: 1996-1073.
Data Storage and Maintenance Challenges: The Case of Advanced Metering Infrastructure Systems Conference
5th International Conference on ICT for Sustainability (ICT4S), EasyChair: EPiC Series in Computing EasyChair: EPiC Series in Computing, Toronto, ON, Canada, 2018.
On the Challenges of Charging Electric Vehicles in Domestic Environments Conference
Proceedings of the Ninth ACM International Conference on Future Energy Systems (E-Energy), ACM ACM, Karlsruhe, Germany, 2018, ISBN: 978-1-4503-5767-8.
Performance evaluation in non-intrusive load monitoring: Datasets, metrics, and tools—A review Journal Article
In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2018, ISSN: 1942-4795.
An Experimental Comparison of Performance Metrics for Event Detection Algorithms in NILM Conference
4th International Workshop on Non-Intrusive Load Monitoring (NILMWS), Austin, TX, USA, 2018.
Highlights of ES2DE and IWOBI 2017: extended versions of selected best papers Journal Article
In: 2018.
Highlights of ES2DE and IWOBI 2017: extended versions of selected best papers Journal Article
In: Computing, vol. 100, no. 11, pp. 1133–1135, 2018.
Performance evaluation in non-intrusive load monitoring: Datasets, metrics, and tools - A review Journal Article
In: WIREs Data Mining Knowl. Discov., vol. 8, no. 6, 2018.
On the Challenges of Charging Electric Vehicles in Domestic Environments Inproceedings
In: e-Energy, pp. 420–422, ACM, 2018.
Data Storage and Maintenance Challenges: The Case of Advanced Metering Infrastructure Systems Inproceedings
In: ICT4S, pp. 289–300, EasyChair, 2018.
2017
Developing and Evaluating a Probabilistic Event Detector for Non-Intrusive Load Monitoring Conference
IFIP Conference on Sustainable Internet and ICT for Sustainability (SustainIT), IFIP / IEEE IFIP / IEEE, Funchal, Portugal, 2017.
Engineering and Deploying a Hardware and Software Platform to Collect and Label Non-Intrusive Load Monitoring Datasets Conference
IFIP Conference on Sustainable Internet and ICT for Sustainability (SustainIT), IFIP / IEEE IFIP / IEEE, Funchal, Portugal, 2017.
A Mouse Over a Hotspot Survey: An Exploration of Perceptions of Electricity Consumption and Patterns of Indecision Conference
IFIP Conference on Sustainable Internet and ICT for Sustainability (SustainIT), IFIP / IEEE IFIP / IEEE, Funchal, Portugal, 2017.
Proceedings of the 2017 Sustainable Internet and ICT for Sustainability (SustainIT) Proceeding
IFIP / IEEE, Funchal, Portugal, vol. 1, 2017, ISSN: 978-3-901882-99-9.
EMD-DF: A Data Model and File Format for Energy Disaggregation Datasets Proceeding
ACM, Delft, The Netherlands, 2017.
A Comparison of Performance Metrics for Event Classification in Non-Intrusive Load Monitoring Conference
IEEE International Conference on Smart Grid Communications (SmartGridComm), IEEE IEEE, Dresden, Germany, 2017.
Engineering and deploying a hardware and software platform to collect and label non-intrusive load monitoring datasets Inproceedings
In: SustainIT, pp. 1–9, IEEE Computer Society, 2017.
Developing and evaluating a probabilistic event detector for non-intrusive load monitoring Inproceedings
In: SustainIT, pp. 37–46, IEEE Computer Society, 2017.