| Economic feasibility analysis of small scale PV systems in different countries S Rodrigues, R Torabikalaki, F Faria, N Cafôfo, X Chen, AR Ivaki, ... Solar Energy 131, 81-95, 2016 | 217 | 2016 |
| Economic analysis of photovoltaic systems for the residential market under China's new regulation S Rodrigues, X Chen, F Morgado-Dias Energy Policy 101, 467-472, 2016 | 85 | 2016 |
| Performance comparison of ANN training algorithms for classification FD Baptista, S Rodrigues, F Morgado-Dias 2013 IEEE 8th International Symposium on Intelligent Signal Processing, 115-120, 2013 | 46 | 2013 |
| Hardware implementation of an artificial neural network model to predict the energy production of a photovoltaic system D Baptista, S Abreu, C Travieso-Gonzalez, F Morgado-Dias Microprocessors and Microsystems 49, 77-86, 2017 | 29 | 2017 |
| A survey of software and hardware use in artificial neural networks D Baptista, S Abreu, F Freitas, R Vasconcelos, F Morgado-Dias Neural Computing and Applications 23 (3), 591-599, 2013 | 24 | 2013 |
| Environmental and economic analysis of solar systems in Madeira, Portugal DG Pestana, S Rodrigues, F Morgado-Dias Utilities Policy 55, 31-40, 2018 | 19 | 2018 |
| Tesla powerwall: analysis of its use in Portugal and United States S Rodrigues, F Faria, AR Ivaki, N Cafôfo, X Chen, H Mata-Lima, ... Int. J. Power Energy Syst 36 (1), 2016 | 15 | 2016 |
| Machine Learning in PV Fault Detection, Diagnostics and Prognostics: A Review S Rodrigues, HG Ramos, F Morgado-Dias | 13 | 2017 |
| Machine learning PV system performance analyser S Rodrigues, HG Ramos, F Morgado‐Dias Progress in Photovoltaics: Research and Applications 26 (8), 675-687, 2018 | 11 | 2018 |
| On the Current Payback Time for Small Investors in the Photovoltaic Systems in the Region of Madeira SR Abreu, M Leça, X Chen, F Morgado-Dias CONTROLO’2014–Proceedings of the 11th Portuguese Conference on Automatic …, 2015 | 7 | 2015 |
| Machine learning photovoltaic string analyzer S Rodrigues, G Mütter, HG Ramos, F Morgado-Dias Entropy 22 (2), 205, 2020 | 5 | 2020 |
| Development of an ANN model to predict the electricity produced by small scale roof-top PV systems in Madeira Island R Torabi, S Rodrigues, N Cafofo, F Morgado-Dias 2017 International Conference in Energy and Sustainability in Small …, 2017 | 5 | 2017 |
| Analysis of the Self-Consumption Regulation for Photovoltaic Systems with Battery Banks in the Portuguese Residential Sector S Rodrigues, F Faria, N Cafôfo, X Chen, H Mata-Lima, F Morgado-Dias | 5 | 2017 |
| Tesla Powerwall in the United States and Portugal-a Comparative Analysis on the use of Storage with Small Scale Photovoltaic Systems S Rodrigues, F Faria, A Ivaki, N Cafôfo, X Chen, F Morgado-Dias | 5 | 2016 |
| Self-Consumption and Battery Bank PV Systems in the Residential Sector in Portugal S Rodrigues, F Faria, N Cafôfo, X Chen, F Morgado-Dias | 5 | 2015 |
| The Current Situation of the Residential and Commercial PV System Self-Consumption Market in Portugal S Rodrigues, F Faria, N Cafôfo, X Chen, F Morgado-Dias International Renewable Energy Environment Conference, 2015 | 5 | 2015 |
| Powerwall 2.0 economic feasibility in Australia S Rodrigues, R Torabi, HG Ramos, F Morgado-Dias 2017 International Conference in Energy and Sustainability in Small …, 2017 | 4 | 2017 |
| Cost-effectiveness analysis of roof-Top PV systems in Montenegro and Serbia R Torabi, N Šahović, S Rodrigues, H Mata-Lima, F Morgado-Dias 2016 4th International Symposium on Environmental Friendly Energies and …, 2016 | 3 | 2016 |
| Using deep learning to predict PV module IV curves from electroluminescence images S Rodrigues Abreu, J Hauch, IM Peters, T Winkler, C Buerhop-Lutz, ... 36th PV Symposium, 97-110, 2021 | 2 | 2021 |
| Predicting Module IV Curves From Electroluminescence Images With Deep Learning S Rodrigues, C Buerhop-Lutz, B Doll, J Hauch, CJ Brabec, IM Peters 37th European Photovoltaic Solar Energy Conference and Exhibition, 1364-1369, 2020 | 2 | 2020 |
Morgado-DiasAssociate Professor at the University of Madeira, Interactive Technologies Institute (ITI/LARSyS)Verified email at uma.pt
