Milde M. S. Lira

Publication Activity (10 Years)

Years Active: 2006-2016
Publications (10 Years): 2

Top Topics

Data Preprocessing

Forecasting Model

Top Venues

Publications

Ronaldo R. B. de Aquino, Jonata C. de Albuquerque, Otoni Nóbrega Neto, Milde M. S. Lira, Manoel A. Carvalho, Alcides Codeceira Neto, Aida A. Ferreira
Assessment of power curves in models of wind power forecasting. IJCNN (2016)
Ronaldo R. B. de Aquino, Ramon B. Souza, Otoni Nóbrega Neto, Milde M. S. Lira, Manoel A. Carvalho, Aida A. Ferreira
Echo state networks, artificial neural networks and fuzzy systems models for improve short-term wind speed forecasting. IJCNN (2015)
Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Ramon B. Souza, Milde M. S. Lira, Manoel A. Carvalho, Teresa Bernarda Ludermir, Aida A. Ferreira
Investigating the use of Echo State Networks for prediction of wind power generation. CIES (2014)
Ronaldo R. B. de Aquino, Teresa Bernarda Ludermir, Aida A. Ferreira, Otoni Nóbrega Neto, Ramon B. Souza, Milde M. S. Lira, Manoel A. Carvalho
Improving reservoir based wind power forecasting with ensembles. SMC (2014)
Ronaldo R. B. de Aquino, Teresa Bernarda Ludermir, Otoni Nóbrega Neto, Aida A. Ferreira, Milde M. S. Lira, Manoel A. Carvalho
Forecasting models of wind power in Northeastern of Brazil. IJCNN (2013)
Ronaldo R. B. de Aquino, Hugo T. V. Gouveia, Milde M. S. Lira, Aida A. Ferreira, Otoni Nóbrega Neto, Manoel A. Carvalho
Wind forecasting and wind power generation: Looking for the best model based on artificial intelligence. IJCNN (2012)
Ronaldo R. B. de Aquino, Hugo T. V. Gouveia, Milde M. S. Lira, Aida A. Ferreira, Otoni Nóbrega Neto, Manoel A. Carvalho
Models Based on Neural Networks and Neuro-Fuzzy Systems for Wind Power Prediction Using Wavelet Transform as Data Preprocessing Method. EANN (2012)
Ronaldo R. B. de Aquino, Aida A. Ferreira, Milde M. S. Lira, Otoni Nóbrega Neto, Priscila S. Amorim, Carlos F. D. Diniz, Tatiana M. A. de Silveira
Short-term load forecasting for electrical regional of a distribution utility considering temperature. IJCNN (2011)
Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Milde M. S. Lira, Manoel A. Carvalho
Solving a real large scale mid-term scheduling for power plants via hybrid intelligent neural networks systems. IJCNN (2011)
Ronaldo R. B. de Aquino, Milde M. S. Lira, Manoel Henrique da Nobrega Marinho, Isabela A. Tavares, Luiz F. A. Cordeiro
Inflow forecasting models based on artificial intelligence. IJCNN (2010)
Ronaldo R. B. de Aquino, Milde M. S. Lira, Otoni Nóbrega Neto, Agnaldo M. S. Silva, Viviane K. Asfora, Taciana Filgueiras, Heldemarcio Ferreira
A fuzzy system for detection of incipient fault in power transformers based on gas-in-oil analysis. FUZZ-IEEE (2010)
Ronaldo R. B. de Aquino, Manoel A. Carvalho, Otoni Nóbrega Neto, Milde M. S. Lira, Givanildo J. de Almeida, Solange N. N. Tiburcio
Recurrent neural networks solving a real large scale mid-term scheduling for power plants. IJCNN (2010)
Ronaldo R. B. de Aquino, Jose M. B. Bezerra, Milde M. S. Lira, Gabriela S. M. Santos, Otoni Nóbrega Neto, Carlos Alberto B. de O. Lira
Combining Artificial Neural Network for diagnosing polluted insulators. IJCNN (2009)
Ronaldo R. B. de Aquino, Milde M. S. Lira, Josinaldo B. de Oliveira, Manoel A. Carvalho, Otoni Nóbrega Neto, Givanildo J. de Almeida
Application of wavelet and neural network models for wind speed and power generation forecasting in a Brazilian experimental wind park. IJCNN (2009)
Aida A. Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino, Milde M. S. Lira, Otoni Nóbrega Neto
Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term. IJCNN (2008)
Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Milde M. S. Lira, Aida A. Ferreira, Katyusco F. Santos
Using Genetic Algorithm to Develop a Neural-Network-Based Load Forecasting. ICANN (2) (2007)
Ronaldo R. B. de Aquino, Geane B. Silva, Milde M. S. Lira, Aida A. Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Josinaldo B. de Oliveira
Combined Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for Improving a Short-Term Electric Load Forecasting. ICANN (2) (2007)
Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Milde M. S. Lira, Aida A. Ferreira, Manoel A. Carvalho, Geane B. Silva, Josinaldo B. de Oliveira
Development of an Artificial Neural Network by Genetic Algorithm to Mid-Term Load Forecasting. IJCNN (2007)
Milde M. S. Lira, Ronaldo R. B. de Aquino, Aida A. Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Gabriela S. M. Santos
Combining Multiple Artificial Neural Networks Using Random Committee to Decide upon Electrical Disturbance Classification. IJCNN (2007)
Milde M. S. Lira, Ronaldo R. B. de Aquino, Aida A. Ferreira, Manoel A. Carvalho, Otoni Nóbrega Neto, Gabriela S. M. Santos, Carlos Alberto B. de O. Lira
Boosting Algorithm to Improve a Voltage Waveform Classifier Based on Artificial Neural Network. ICANN (2) (2007)
Ronaldo R. B. de Aquino, Aida A. Ferreira, Manoel A. Carvalho, Milde M. S. Lira, Geane B. Silva, Otoni Nóbrega Neto
Development of a Hybrid Intelligent System for Electrical Load Forecasting. IBERAMIA-SBIA (2006)
Ronaldo R. B. de Aquino, Aida A. Ferreira, Milde M. S. Lira, Geane B. Silva, Otoni Nóbrega Neto, J. B. Oliveira, Carlos F. D. Diniz, J. Fideles
A Hybrid Intelligent System for Short and Mid-term Forecasting for the CELPE Distribution Utility. IJCNN (2006)
Ronaldo R. B. de Aquino, Aida A. Ferreira, Manoel A. Carvalho, Milde M. S. Lira, Geane B. Silva, Otoni Nóbrega Neto
Combining Artificial Neural Networks and Heuristic Rules in a Hybrid Intelligent Load Forecast System. ICANN (2) (2006)
Milde M. S. Lira, Ronaldo R. B. de Aquino, Aida A. Ferreira, Manoel A. Carvalho, Carlos Alberto B. de O. Lira
Improving Disturbance Classification by Combining Multiple Artificial Neural Networks. IJCNN (2006)