Luis G. Marin

According to our database, Luis G. Marin authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Microgrid planning based on computational intelligence methods for rural communities: A case study in the José Painecura Mapuche community, Chile.

Raúl Morales, Luis G. Marin, Tomislav Roje, Víctor Caquilpan, Doris Sáez, Alfredo Núñez

Expert Syst. Appl., January, 2024

2022

Demand Side Management for Microgrids based on Fuzzy Prediction Intervals.

Roberto Bustos, Luis G. Marin, Alex Navas Fonseca, Doris Sáez, Gillermo Jiménez Estévez

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Review on Fuzzy and Neural Prediction Interval Modelling for Nonlinear Dynamical Systems.

Oscar Cartagena, Sebastián Parra, Diego Muñoz-Carpintero, Luis G. Marin, Doris Sáez

IEEE Access, 2021

2020

Fuzzy Interval Modelling based on Joint Supervision.

Diego Muñoz-Carpintero, Sebastián Parra, Oscar Cartagena, Doris Sáez, Luis G. Marin, Igor Skrjanc

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Uncertainty-Aware Forecasting of Renewable Energy Sources.

Direnc Pekaslan, Christian Wagner, Jonathan M. Garibaldi, Luis G. Marin, Doris Sáez

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019

Prediction interval methodology based on fuzzy numbers and its extension to fuzzy systems and neural networks.

Luis G. Marin, Nicolás Cruz, Doris Sáez, Mark Sumner, Alfredo Núñez

Expert Syst. Appl., 2019

Prediction Intervals With LSTM Networks Trained By Joint Supervision.

Nicolás Cruz, Luis Gabriel Marín, Doris Sáez

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Neural Network Prediction Interval Based on Joint Supervision.

Nicolás Cruz, Luis G. Marin, Doris Sáez

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Load estimation for microgrid planning based on a self-organizing map methodology.

Jacqueline Llanos, Raúl Morales, Alfredo Núñez, Doris Sáez, Matías Lacalle, Luis Gabriel Marín, Roberto Hernández, Fernando Lanas

Appl. Soft Comput., 2017

2016

Robust Energy Management System for a Microgrid Based on a Fuzzy Prediction Interval Model.

Felipe Valencia, Jorge Collado, Doris Sáez, Luis G. Marin

IEEE Trans. Smart Grid, 2016

Microgrid planning based on fuzzy interval models of renewable resources.

R. Morales, Doris Sáez, Luis G. Marin, Alfredo Núñez

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Prediction interval based on type-2 fuzzy systems for wind power generation and loads in microgrid control design.

Luis G. Marin, Felipe Valencia, Doris Sáez

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

Fuzzy Prediction Interval Models for Forecasting Renewable Resources and Loads in Microgrids.

Doris Sáez, Fernanda Avila, Daniel E. Olivares, Claudio A. Cañizares, Luis G. Marin

IEEE Trans. Smart Grid, 2015

Prediction Interval Modeling Tuned by an Improved Teaching Learning Algorithm Applied to Load Forecasting in Microgrids.

Franka Veltman, Luis G. Marin, Doris Sáez, Leonel Guitierrez, Alfredo Núñez

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015