| Reputation computational model to support electricity market players energy contracts negotiation J Rodriguez-Fernandez, T Pinto, F Silva, I Praça, Z Vale, JM Corchado International Conference on Practical Applications of Agents and Multi-Agent …, 2018 | 48 | 2018 |
| Perceptrons from memristors F Silva, M Sanz, J Seixas, E Solano, Y Omar Neural Networks 122, 273-278, 2020 | 36 | 2020 |
| Multi-agent decision support tool to enable interoperability among heterogeneous energy systems B Teixeira, T Pinto, F Silva, G Santos, I Praça, Z Vale Applied Sciences 8 (3), 328, 2018 | 35 | 2018 |
| Context aware q-learning-based model for decision support in the negotiation of energy contracts J Rodriguez-Fernandez, T Pinto, F Silva, I Praça, Z Vale, JM Corchado International Journal of Electrical Power & Energy Systems 104, 489-501, 2019 | 34 | 2019 |
| Genetic fuzzy rule-based system using MOGUL learning methodology for energy consumption forecasting A Jozi, T Pinto, I Praça, F Silva, B Teixeira, Z Vale ADCAIJ: Advances in Distributed Computing and Artificial Intelligence …, 2019 | 33 | 2019 |
| Generation of realistic scenarios for multi-agent simulation of electricity markets F Silva, B Teixeira, T Pinto, G Santos, Z Vale, I Praça Energy 116, 128-139, 2016 | 31 | 2016 |
| Energy consumption forecasting based on hybrid neural fuzzy inference system A Jozi, T Pinto, I Praça, F Silva, B Teixeira, Z Vale 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-5, 2016 | 24 | 2016 |
| Data mining approach to support the generation of Realistic Scenarios for multi-agent simulation of electricity markets B Teixeira, F Silva, T Pinto, I Praça, G Santos, Z Vale 2014 IEEE Symposium on Intelligent Agents (IA), 8-15, 2014 | 24 | 2014 |
| Reserve costs allocation model for energy and reserve market simulation T Pinto, AS Gazafroudi, F Prieto-Castrillo, G Santos, F Silva, JM Corchado, ... 2017 19th International Conference on Intelligent System Application to …, 2017 | 15 | 2017 |
| Prevalência de cefaléia no transcorrer da vida em uma amostra da população da região metropolitana de Recife FS Silva, MCF Sampaio, JC Neto, WD Serva, J Lima, MM Valença Migrâneas cefaléias 8, 104-6, 2005 | 14 | 2005 |
| In search of deep learning architectures for load forecasting: a comparative analysis and the impact of the covid-19 pandemic on model performance S Pelekis, E Karakolis, F Silva, V Schoinas, S Mouzakitis, G Kormpakis, ... 2022 13th International Conference on Information, Intelligence, Systems …, 2022 | 12 | 2022 |
| Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature A Jozi, T Pinto, I Praça, F Silva, B Teixeira, Z Vale 2016 Global Information Infrastructure and Networking Symposium (GIIS), 1-6, 2016 | 11 | 2016 |
| TOOCC: Enabling heterogeneous systems interoperability in the study of energy systems B Teixeira, F Silva, T Pinto, G Santos, I Praça, Z Vale 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 9 | 2017 |
| Power systems simulation using ontologies to enable the interoperability of multi-agent systems G Santos, F Silva, B Teixeira, Z Vale, T Pinto 2018 Power Systems Computation Conference (PSCC), 1-7, 2018 | 7 | 2018 |
| HIDROGRAMAS DE CHEIAS PARA A BACIA DO RIBEIRÃO DAS ANTAS COM BASE EM MODIFICAÇÕES NO USO E OCUPAÇÃO DO SOLO LG Silva, DL Belissario, LP Santos, MS Targa, MDA Cocco, AA Almeida Revista Técnica Ciências Ambientais 1 (1), 1-8, 2017 | 7* | 2017 |
| Application of a hybrid neural fuzzy inference system to forecast solar intensity F Silva, B Teixeira, N Teixeira, T Pinto, I Praça, Z Vale 2016 27th international workshop on database and expert systems applications …, 2016 | 7 | 2016 |
| Santos AM dos, Corrêa R da GCF, Caldas A de JM. Temporal relationship between rainfall, temperature and occurrence of dengue cases in São Luís, Maranhão, Brazil FD Silva Cien Saude Colet 21 (2), 641-6, 2016 | 7 | 2016 |
| Phenylketonuria in Portugal: Genotype–phenotype correlations using molecular, biochemical, and haplotypic analyses F Ferreira, L Azevedo, R Neiva, C Sousa, H Fonseca, A Marcão, H Rocha, ... Molecular Genetics & Genomic Medicine 9 (3), e1559, 2021 | 6 | 2021 |
| Energy Consumption Forecasting using Genetic fuzzy rule-based systems based on MOGUL Learning Methodology A Jozi, T Pinto, I Praça, F Silva, B Teixeira, Z Vale 2017 IEEE Manchester PowerTech, 1-5, 2017 | 6 | 2017 |
| A context-based building security alarm through power and sensors analysis F Silva, G Santos, I Praça, Z Vale Energy Informatics 1 (Suppl 1), 41, 2018 | 5 | 2018 |
Tiago PintoUTAD / INESC-TECVerified email at utad.pt
