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@ -68,10 +68,32 @@ A Google Colab example can also be found [here](https://drive.google.com/file/d/
This tool is result of collective effort of [MINDS Lab](http://www.minds.eng.ufmg.br/), headed by Prof. Frederico Gadelha Guimaraes. Some of research on FTS which was developed under pyFTS:
1. Alves, M. A., Silva, P. C. L., Severiano, C. A. J., Vieira, G. L., Guimaraes, F. G., Sadaei, H. J. An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series. 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2018.
2. Silva, P. C. L., Alves, M. A., Alberto, C., Junior, S., Vieira, G. L., Guimaraes, F. G.; Sadaei, H. J. Probabilistic Forecasting with Seasonal Ensemble Fuzzy Time-Series. XIII Brazilian Congress on Computational Intelligence, 2017.
3. Severiano, S. A. Jr, Silva, P. C. L., Sadaei, H. J., Guimaraes, F. G. Very Short-term Solar Forecasting using Fuzzy Time Series. 2017 IEEE International Conference on Fuzzy Systems. DOI10.1109/FUZZ-IEEE.2017.8015732
4. Silva, P. C. L., Sadaei, H. J., Guimaraes, F. G. Interval Forecasting with Fuzzy Time Series. In: Computational Intelligence (SSCI), 2016 IEEE Symposium Series on. IEEE, 2016. p. 1-8.
- 2020
- ORANG, Omid; Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps. IEEE World Congress On Computational Intelligence 2020 (WCCI).
- ALYOUSIFI, Y; FAYE, Othman M; SOKKALINGAM, I; SILVA, P. Markov Weighted Fuzzy Time-Series Model Based on an Optimum Partition Method for Forecasting Air Pollution. International Journal of Fuzzy Systems, 2020. http://doi.org/10.1007/s40815-020-00841-w
- SILVA, Petrônio CL et al. Forecasting in Non-stationary Environments with Fuzzy Time Series. https://arxiv.org/abs/2004.12554
- SILVA, Petrônio CL et al. Distributed Evolutionary Hyperparameter Optimization for Fuzzy Time Series. IEEE Transactions on Network and Service Management, 2020. http://doi.org/10.1109/TNSM.2020.2980289
- ALYOUSIFI, Yousif et al. Predicting Daily Air Pollution Index Based on Fuzzy Time Series Markov Chain Model. Symmetry, v. 12, n. 2, p. 293, 2020. http://doi.org/10.3390/sym12020293
- 2019
- SILVA, Petrônio C. L. Scalable Models of Fuzzy Time Series for Probabilistic Forecasting. PhD Thesis. https://doi.org/10.5281/zenodo.3374641
- SADAEI, Hossein J. et al. Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series. Energy, v. 175, p. 365-377, 2019. http://doi.org/10.1016/j.energy.2019.03.081
- SILVA, Petrônio CL et al. Probabilistic forecasting with fuzzy time series. IEEE Transactions on Fuzzy Systems, 2019.  http://doi.org/10.1109/TFUZZ.2019.2922152
- SILVA, Petrônio C. L.; LUCAS, Patrícia de O.; GUIMARÃES, Frederico Gadelha. A Distributed Algorithm for Scalable Fuzzy Time Series. In: International Conference on Green, Pervasive, and Cloud Computing. Springer, Cham, 2019. p. 42-56. http://doi.org/10.1007/978-3-030-19223-5_4
- SILVA, Petrônio Cândido de Lima et al. A New Granular Approach for Multivariate Forecasting. In: Latin American Workshop on Computational Neuroscience. Springer, Cham, 2019. p. 41-58. http://doi.org/10.1007/978-3-030-36636-0_4
- ALVES, Marcos Antonio et al. Otimizaçao Dinâmica Evolucionária para Despacho de Energia em uma Microrrede usando Veıculos Elétricos. Em: Anais do 14º Simpósio Brasileiro de Automação Inteligente. Campinas : GALOÁ. 2019. http://doi.org/10.17648/sbai-2019-111524
- LUCAS, Patrícia de O.; SILVA, Petrônio C. L.; GUIMARAES, Frederico G. Otimização Evolutiva de Hiperparâmetros para Modelos de Séries Temporais Nebulosas.Em: Anais do 14º Simpósio Brasileiro de Automação Inteligente. Campinas : GALOÁ. 2019. http://doi.org/10.17648/sbai-2019-111141
- 2018
- ALVES, Marcos Antônio et al. An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series. In: ESANN. 2018.
- 2017
- SEVERIANO, Carlos A. et al. Very short-term solar forecasting using fuzzy time series. In: 2017 IEEE international conference on fuzzy systems (FUZZ-IEEE). IEEE, 2017. p. 1-6. http://doi.org/10.1109/FUZZ-IEEE.2017.8015732
- SILVA, Petrônio C. L.; et al. Probabilistic forecasting with seasonal ensemble fuzzy time-series. In: XIII Brazilian Congress on Computational Intelligence, Rio de Janeiro. 2017. http://doi.org/10.21528/CBIC2017-54
- COSTA, Francirley R. B.; SILVA, Petrônio C. L.; GUIMARAES, Frederico G. REGRESSÃO LINEAR APLICADA NA PREDIÇÃO DE SERIES TEMPORAIS FUZZY. Simpósio Brasileiro de Automação Inteligente (SBAI), 2017.
- 2016
- SILVA, Petrônio C. L.; SADAEI, Hossein Javedani; GUIMARAES, Frederico G. Interval forecasting with fuzzy time series. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2016. p. 1-8. http://doi.org/10.1109/SSCI.2016.7850010
## References