@article{pedro_opportunities_2023,abbr={Utilities Policy},bibtex_show={true},title={Opportunities and Challenges for Small-Scale Flexibility in {{European}} Electricity Markets},author={Pedro, Andressa and Krutnik, Mikolaj and Yadack, Van Malcolm and Pereira, Lucas and Morais, Hugo},html={https://www.sciencedirect.com/science/article/pii/S0957178722001412},date={2023-02},year={2023},month=feb,journal={Utilities Policy},volume={80},pages={101477},issn={0957-1787},doi={10.1016/j.jup.2022.101477},langid={english}}
2022
Buildings
Benchmark of Electricity Consumption Forecasting Methodologies Applied to Industrial Kitchens
Amantegui, Jorge,
Morais, Hugo,
and Pereira, Lucas
@article{amantegui_benchmark_2022,abbr={Buildings},bibtex_show={true},title={Benchmark of {{Electricity Consumption Forecasting Methodologies Applied}} to {{Industrial Kitchens}}},author={Amantegui, Jorge and Morais, Hugo and Pereira, Lucas},html={https://www.mdpi.com/2075-5309/12/12/2231},date={2022-12},year={2022},month=dec,journal={Buildings},volume={12},number={12},pages={2231},publisher={{Multidisciplinary Digital Publishing Institute}},issn={2075-5309},doi={10.3390/buildings12122231},issue={12},langid={english}}
2021
Data
FIKWater: A Water Consumption Dataset from Three Restaurant Kitchens in Portugal
Pereira, Lucas,
Aguiar, Vitor,
and Vasconcelos, Fábio
@article{pereira_fikwater_2021,abbr={Data},bibtex_show={true},title={{{FIKWater}}: {{A Water Consumption Dataset}} from {{Three Restaurant Kitchens}} in {{Portugal}}},html={https://www.mdpi.com/2306-5729/6/3/26},author={Pereira, Lucas and Aguiar, Vitor and Vasconcelos, F{\'a}bio},year={2021},month=mar,journal={Data},volume={6},number={3},pages={26},publisher={{Multidisciplinary Digital Publishing Institute}},doi={10.3390/data6030026},copyright={http://creativecommons.org/licenses/by/3.0/},langid={english},selected={true}}
Data
FIKWaste: A Waste Generation Dataset from Three Restaurant Kitchens in Portugal
Pereira, Lucas,
Aguiar, Vitor,
and Vasconcelos, Fábio
@article{pereira_fikwaste_2021,abbr={Data},bibtex_show={true},title={{{FIKWaste}}: {{A Waste Generation Dataset}} from {{Three Restaurant Kitchens}} in {{Portugal}}},html={https://www.mdpi.com/2306-5729/6/3/25},shorttitle={{{FIKWaste}}},author={Pereira, Lucas and Aguiar, Vitor and Vasconcelos, F{\'a}bio},year={2021},month=mar,journal={Data},volume={6},number={3},pages={25},publisher={{Multidisciplinary Digital Publishing Institute}},doi={10.3390/data6030025},copyright={http://creativecommons.org/licenses/by/3.0/},langid={english},selected={true}}
2020
Theses
2023
2022
MSc. Thesis
Forecasting Electricity Consumption in Industrial Kitchens
@thesis{amantegui_forecasting_2022,abbr={MSc. Thesis},bibtex_show={true},type={{{MSc}}},title={Forecasting {{Electricity Consumption}} in {{Industrial Kitchens}}},html={https://fenix.tecnico.ulisboa.pt/cursos/mege/dissertacao/846778572214403},author={Amantegui, Jorge Ruiz},year={2022},month=sep,address={{Lisbon, Portugal}},langid={english},school={T\'ecnico Lisboa, University of Lisbon}}
MSc. Thesis
Data-driven Modeling of Energy Consumption in Industrial Kitchens - Detection of Activations and Unsupervised Classification
@thesis{martins_forecasting_2022,abbr={MSc. Thesis},bibtex_show={true},type={{{MSc}}},title={Data-driven Modeling of Energy Consumption in Industrial Kitchens - Detection of Activations and Unsupervised Classification},html={https://fenix.tecnico.ulisboa.pt/cursos/mecd/dissertacao/565303595503325i},author={Martins, Ricardo},year={2022},month=nov,address={{Lisbon, Portugal}},langid={english},school={T\'ecnico Lisboa, University of Lisbon}}
@thesis{krutnik_energy_2020,abbr={MSc. Thesis},bibtex_show={true},type={{{MSc}}},title={Energy {{Services}} for {{The Food Industry}}},html={https://fenix.tecnico.ulisboa.pt/cursos/mege/dissertacao/1128253548922346},author={Krutnik, Mikolaj Jan},year={2020},month=nov,address={{Lisbon, Portugal}},langid={english},school={T\'ecnico Lisboa, University of Lisbon}}
MSc. Thesis
Small Flexibility Based Frequency Containment Reserves - Opportunities Analysis and Modeling
@thesis{pedro_small_2020,abbr={MSc. Thesis},bibtex_show={true},type={{{MSc}}},title={Small {{Flexibility Based Frequency Containment Reserves}} - {{Opportunities}} Analysis and Modeling},html={https://fenix.tecnico.ulisboa.pt/cursos/mege/dissertacao/283828618790544},author={Pedro, Andressa},year={2020},month=nov,address={{Lisbon, Portugal}},langid={english},school={T\'ecnico Lisboa, University of Lisbon}}