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Behavioral similarity of residential customers using a neural network based on adaptive resonance theory
(2017-11-01)
This article presents a methodology aiming at the comprehension and analysis of the residential electricity consumption habitual behavior by means of a similarity analysis, based on the use of an ART (Adaptive Resonance ...
A new formulation of multinodal short-term load forecasting based on adaptive resonance theory with reverse training
(2020-02-01)
A multinodal intelligent predictive method for electrical power systems has been developed. Knowing the electrical load accurately and in advance is essential for conducting studies in regard to the system operations, and ...
Analysis of Structural Integrity Using an ARTMAP-Fuzzy Artificial Neural Network
(Trans Tech Publications Ltd, 2014-01-01)
This paper presents the application of artificial neural networks in the analysis of the structural integrity of a building. The main objective is to apply an artificial neural network based on adaptive resonance theory, ...
Detection and Classification of Weld Discontinuities in Radiographic Images (Part III: Unsupervised Learning - Phenomenological Analysis)
(AMER SOC NONDESTRUCTIVE TEST, 2008)
This is the third and final installment of a three-part article on detection and classification of discontinuities appearing in radiographic images of welds. The present installment is the continuation of the section on ...
Electric load forecasting using a fuzzy ART&ARTMAP neural network
(Elsevier B.V., 2005-01-01)
This work presents a neural network based on the ART architecture ( adaptive resonance theory), named fuzzy ART& ARTMAP neural network, applied to the electric load-forecasting problem. The neural networks based on the ...
Electric load forecasting using a fuzzy ART&ARTMAP neural network
(Elsevier B.V., 2005-01-01)
This work presents a neural network based on the ART architecture ( adaptive resonance theory), named fuzzy ART& ARTMAP neural network, applied to the electric load-forecasting problem. The neural networks based on the ...
Multinodal Load Forecasting Using an ART-ARTMAP-Fuzzy Neural Network and PSO Strategy
(Ieee, 2013-01-01)
This work presents a system based on Artificial Neural Networks and PSO (Particle Swarm Optimization) strategy, to multinodal load forecasting, i.e., forecasting in several points of the electrical network (substations, ...
Multinodal load forecasting using an ART-ARTMAP-fuzzy neural network and PSO strategy
(2013-12-27)
This work presents a system based on Artificial Neural Networks and PSO (Particle Swarm Optimization) strategy, to multinodal load forecasting, i.e., forecasting in several points of the electrical network (substations, ...
Multinodal load forecasting for distribution systems using a fuzzy-artmap neural network
(2018-10-01)
This work proposes a predictor system (multinodal forecasting) considering several points of an electrical network, such as substations, transformers, and feeders, based on an adaptive resonance theory (ART) neural network ...
Transient stability analysis of electric energy systems via a fuzzy ART-ARTMAP neural network
(Elsevier B.V., 2006-04-01)
This work presents a methodology to analyze transient stability (first oscillation) of electric energy systems, using a neural network based on ART architecture (adaptive resonance theory), named fuzzy ART-ARTMAP neural ...