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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 ...
Multinodal Load Forecasting in Power Electric Systems using a Neural Network with Radial Basis Function
(Trans Tech Publications Ltd, 2011-01-01)
In this paper we present the results of the use of a methodology for multinodal load forecasting through an artificial neural network-type Multilayer Perceptron, making use of radial basis functions as activation function ...
Metodologia para previsão de carga e geração no horizonte de curtíssimo prazo
(Universidade Federal de Santa MariaBREngenharia ElétricaUFSMPrograma de Pós-Graduação em Engenharia Elétrica, 2016-08-31)
Load forecasting is a very important activity on electric power system operation and planning, because many studies on electricity sector depend on future behavior of the system, requiring the electricity demand forecast ...
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, ...