Improving market clearing price prediction by using neural networks (2004)
In a deregulating power market, bidding decisions rely on good market clearing price predictions. One of the common forecasting methods is a Gaussian radial basis function (GRBF) network, which...
Improving market clearing price prediction by using neural networks / (2004)
Abstract (2 leaves) bound with copy.
Improving market clearing price prediction by using a committee machine of neural networks (2004)
Jau-jia Guo, Student Member, Peter B. Luh
Abstract—Predicting market clearing prices is an important but difficult task, and neural networks have been widely used. A single neural network, however, may misrepresent part of the input-output...
Jau-jia Guo, Student Member, Peter B. Luh
In a deregulated power market, bidding decisions rely on good market clearing price prediction. One of the common forecasting methods is Gaussian radial basis function (GRBF) networks that...