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Henrique Pombeiro
Henrique Pombeiro
IN+, LARSyS, IST - Instituto Superior Técnico, University of Lisbon
Verified email at tecnico.ulisboa.pt - Homepage
Title
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Cited by
Year
Comparative assessment of low-complexity models to predict electricity consumption in an institutional building: Linear regression vs. fuzzy modeling vs. neural …
H Pombeiro, R Santos, P Carreira, C Silva, JMC Sousa
Energy and Buildings 146, 141-151, 2017
652017
Dynamic programming and genetic algorithms to control an HVAC system: Maximizing thermal comfort and minimizing cost with PV production and storage
H Pombeiro, MJ Machado, C Silva
Sustainable cities and society 34, 228-238, 2017
442017
Analyzing residential electricity consumption patterns based on consumer’s segmentation
H Pombeiro, A Pina, C Silva
Proceedings of the first international workshop on information technology …, 2012
272012
Towards a smart campus: building-user learning interaction for energy efficiency, the lisbon case study
R Gomes, H Pombeiro, C Silva, P Carreira, M Carvalho, G Almeida, ...
Handbook of Theory and Practice of Sustainable Development in Higher …, 2017
202017
Linear, fuzzy and neural networks models for definition of baseline consumption: Early findings from two test beds in a University campus in Portugal
HRML Pombeiro, CAS Silva
2014 Science and Information Conference, 481-487, 2014
82014
Displaying data is not enough: Incorporating User Behavior Transformation in domestic reporting systems
H Pombeiro, J Santos, P Carreira, C Silva
Sustainable Cities and Society 48, 101451, 2019
52019
Modeling Energy Consumption in a Educational Building: Comparative Study Between Linear Regression, Fuzzy Set Theory and Neural Networks
H Pombeiro, C Silva
Science and Information Conference, 293-307, 2014
22014
Designing an adaptive feedback platform for encouraging energy efficiency behaviors: a practical case in Portuguese households
HRML Pombeiro, RA Gomes, CAS Silva
2016 Future Technologies Conference (FTC), 769-776, 2016
12016
Flexibility characterization of residential electricity consumption: A machine learning approach
M Amayri, CS Silva, H Pombeiro, S Ploix
Sustainable Energy, Grids and Networks, 100801, 2022
2022
Intelligent energy management in buildings: unfolding a new set of approaches centered in the users
H Pombeiro, C Silva
Instituto Superior Técnico, University of Lisbon, 2018
2018
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