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Short term load forecasting for power exchange between Brasil and Paraguay
(2018-06-25)
This work presents a case study of short term load forecasting to assist in the power exchange real time dispatch operation between Brazil and Paraguay at Itaipu Dam. A classical method with statistical approach, Seasonal ...
Electrical load forecasting formulation by a fast neural network
(C R L Publishing Ltd, 2003-03-01)
The objective of this work is to develop a methodology for electric load forecasting based on a neural network. Here, backpropagation algorithm is used with an adaptive process that based on fuzzy logic and using a decaying ...
Electrical load forecasting formulation by a fast neural network
(C R L Publishing Ltd, 2003-03-01)
The objective of this work is to develop a methodology for electric load forecasting based on a neural network. Here, backpropagation algorithm is used with an adaptive process that based on fuzzy logic and using a decaying ...
Electrical load forecasting formulation by a fast neural network
(2003-03-01)
The objective of this work is to develop a methodology for electric load forecasting based on a neural network. Here, backpropagation algorithm is used with an adaptive process that based on fuzzy logic and using a decaying ...
Electrical load forecasting formulation by a fast neural network
(C R L Publishing Ltd, 2014)
Short-Term Multinodal Load Forecasting Using a Fuzzy-ARTMAP Neural Network
(2019-09-01)
The prediction of electric charges is essential in the electric power system, because it establishes when and how much of generation, transmission and distribution capacity must be arranged to meet the expected load without ...
One day ahead load forecasting by recurrent neural networks
(C R L PUBLISHING LTD, 1997)
In recent years, many applications of neural network methodologies to power system problems have been reported. Among them, short term load forecasting has been one of the most popular. Multilayer perceptron networks have ...