Lucas Pereira
Biography
Lucas Pereira received his PhD 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
News
Publications
2022
A Residential Labeled Dataset for Smart Meter Data Analytics Journal Article
In: Sci Data, vol. 9, no. 1, pp. 134, 2022, ISSN: 2052-4463.
Improving Accuracy and Convergence of Federated Learning Edge Computing Methods for Generalized DER Forecasting Applications in Power Grids Proceedings Article
In: Tackling Climate Change with Machine Learning Workshop at NeurIPS 2022., Climate Change AI, Online, 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.
EMD-DF64: A 64-Bit File Format for Energy Monitoring and Disaggregation Datasets Journal Article
In: 2021.
Energy Monitoring in the Wild: Platform Development and Lessons Learned from a Real-World Demonstrator Journal Article
In: Energies, vol. 14, no. 18, pp. 5786, 2021, ISSN: 1996-1073.
Energy Data Analytics for Smart Meter Data Book
MDPI - Multidisciplinary Digital Publishing Institute, 2021, ISBN: 978-3-0365-2016-2.
Computer Supported Collaborative Learning for Programming: A Systematic Review: Proceedings Article
In: Proceedings of the 13th International Conference on Computer Supported Education, pp. 184–191, SCITEPRESS - Science and Technology Publications, Online Streaming, — Select a Country —, 2021, ISBN: 978-989-758-502-9.
Towards Pro-Social Load Balancing in Energy Communities Proceedings Article
In: Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, pp. 240–241, Association for Computing Machinery, New York, NY, USA, 2021, ISBN: 978-1-4503-9114-6.