Search Results - "Minussi, Carlos R."

Efficient Methodology for Detection and Classification of Short-Circuit Faults in Distribution Systems with Distributed Generation by Santos, Andréia da Silva, Faria, Lucas Teles, Lopes, Mara Lúcia M, Lotufo, Anna Diva P, Minussi, Carlos R

“…Fault detection and classification are crucial procedures for electric power distribution systems because they can minimize the occurrence of faults. The…”
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BepFAMN: A Method for Linear B-Cell Epitope Predictions Based on Fuzzy-ARTMAP Artificial Neural Network by La Marca, Anthony F, Lopes, Robson da S, Lotufo, Anna Diva P, Bartholomeu, Daniella C, Minussi, Carlos R

“…The public health system is extremely dependent on the use of vaccines to immunize the population from a series of infectious and dangerous diseases,…”
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Power Distribution Systems’ Vulnerability by Regions Caused by Electrical Discharges by Santos, Andréia S., Faria, Lucas Teles, Lopes, Mara Lúcia M., Minussi, Carlos R.

“…Energy supply interruptions or blackouts caused by faults in power distribution feeders entail several damages to power utilities and consumer units: financial…”
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Estimation of Vulnerable Areas to Faults Caused by Tree Vegetation in Power Distribution Systems by Santos, Andreia S., Faria, Lucas Teles, Boshi, Leticia S., Lopes, Mara Lucia M., Minussi, Carlos R.

“…Faults in power distribution feeders cause damage to power utilities due to the deterioration of reliability and power quality indexes and the displacement of…”
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Load forecasting for smart grid based on continuous-learning neural network by da Silva, Marcela A., Abreu, Thays, Santos-Júnior, Carlos Roberto, Minussi, Carlos R.

“…•It is proposed a new method for load forecasting applied to smart grids.•This method is based on using the Fuzzy-ARTMAP neural network with continuous…”
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A new formulation of multinodal short-term load forecasting based on adaptive resonance theory with reverse training by Amorim, Aline J., Abreu, Thays A., Tonelli-Neto, Mauro S., Minussi, Carlos R.

“…•The multinodal forecast model predicts the load of 24 h ahead.•The concept of reverse training is implemented for the Fuzzy-ARTMAP neural network.•Stability…”
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Detection and classification of voltage disturbances using a Fuzzy-ARTMAP-wavelet network by Decanini, José G.M.S., Tonelli-Neto, Mauro S., Malange, Fernando C.V., Minussi, Carlos R.

“…► The main PQ disturbances were evaluated using intelligent systems. ► Disturbance detection procedure presented high-computing performance. ► Stability and…”
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An artificial immune system with continuous-learning for voltage disturbance diagnosis in electrical distribution systems by Lima, Fernando P.A., Lopes, Mara L.M., Lotufo, Anna Diva P., Minussi, Carlos R.

“…•We propose a new artificial immune algorithm with continuous-learning.•This means to learn without reinitialization when occur new disturbances.•Application…”
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Transient stability analysis of electric energy systems via a fuzzy ART-ARTMAP neural network by Ferreira, Wagner Peron, Silveira, Maria do Carmo G., Lotufo, AnnaDiva P., Minussi, Carlos. R.

“…This work presents a methodology to analyze transient stability (first oscillation) of electric energy systems, using a neural network based on ART…”
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Disturbance detection for optimal database storage in electrical distribution systems using artificial immune systems with negative selection by Lima, Fernando P.A., Lotufo, Anna D.P., Minussi, Carlos R.

“…•The main disturbances in distribution systems were analyzed by the intelligent system.•The intelligent system presented high-computing performance.•The…”
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Using Aggregated Electrical Loads for the Multinodal Load Forecasting by Moreira-Júnior, Joaquim R., Abreu, Thays, Minussi, Carlos R., Lopes, Mara L. M.

“…Forecasting electrical loads is essential from a practical and economic point of view. With this forecast, it is possible to plan the supply of energy safely…”
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Behavioral similarity of residential customers using a neural network based on adaptive resonance theory by Justo, Daniela S., Minussi, Carlos R., Lotufo, Anna Diva P.

“…[Display omitted] •The Fuzzy ART algorithm is embedded in two modules in the clustering process.•Consumption, energy use, appliance ownership and other…”
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Forecasting the spatiotemporal variability of soil CO2 emissions in sugarcane areas in southeastern Brazil using artificial neural networks by Freitas, Luciana P. S., Lopes, Mara L. M., Carvalho, Leonardo B, Panosso, Alan R., La Scala Júnior, Newton, Freitas, Ricardo L. B., Minussi, Carlos R., Lotufo, Anna D. P.

“…Carbon dioxide (CO 2 ) is considered one of the main greenhouse effect gases and contributes significantly to global climate change. In Brazil, the…”
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Multinodal Load Forecast Using Euclidean ARTMAP Neural Network by Ferreira, Andreia. B. A., Minussi, Carlos. R., Lotufo, Ana D. P., Lopes, Mara L. M., Chavarette, Fabio R., Abreu, Thays. A.

“…Forecasting electric demand is a fundamental part of the electric power systems, since, it provides useful information on several aspects of the network,…”
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Sensitivity analysis by neural networks applied to power systems transient stability by Lotufo, Anna Diva P., Lopes, Mara Lúcia M., Minussi, Carlos R.

“…This work presents a procedure for transient stability analysis and preventive control of electric power systems, which is formulated by a multilayer…”
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Multinodal load forecasting for distribution systems using a fuzzy-artmap neural network by Abreu, Thays, Amorim, Aline J., Santos-Junior, Carlos R., Lotufo, Anna D.P., Minussi, Carlos R.

“…•A predictor system (multinodal forecasting) is proposed considering several points of the electrical network.•The processing time is equivalent to the…”
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Residential electric load curve profile based on fuzzy systems by Abreu, Thays, Alves, Uilian N. L. T., Minussi, Carlos R., Lotufo, Anna Diva P., Lopes, Mara L. M.

“…Electric energy demand in residences represents around 30% of the global demand. This requires a detailed knowledge about the electrical load patterns, leading…”
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A modified negative selection algorithm applied in the diagnosis of voltage disturbances in distribution electrical systems by Lima, Fernando P. A., Minussi, Carlos R., Bessa, Ricardo B., Fidalgo, Jose N.

“…This paper presents a modified negative selection algorithm for the diagnosis of disturbance in distribution electrical systems. This study analyzes voltage…”
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Neural network based on adaptive resonance theory with continuous training for multi-configuration transient stability analysis of electric power systems by Marchiori, Sandra C., da Silveira, Maria do Carmo G., Lotufo, Anna Diva P., Minussi, Carlos R., Lopes, Mara Lúcia Martins

“…This work presents a methodology to analyze electric power systems transient stability for first swing using a neural network based on adaptive resonance…”
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Forecasting the spatiotemporal variability of soil CO 2 emissions in sugarcane areas in southeastern Brazil using artificial neural networks by Freitas, Luciana P S, Lopes, Mara L M, Carvalho, Leonardo B, Panosso, Alan R, La Scala Júnior, Newton, Freitas, Ricardo L B, Minussi, Carlos R, Lotufo, Anna D P

“…Carbon dioxide (CO ) is considered one of the main greenhouse effect gases and contributes significantly to global climate change. In Brazil, the agricultural…”
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