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- W76989182 abstract "Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. The problem becomes more complex because the acquired data series are non-linear and non-Gaussian. In this paper, Multi Layer Perceptrons (MLP) trained with minimizing error entropy (MEE) algorithm is utilized to forecast electricity price. Compared with the conventional MLP with mean square error (MSE) criterion, the proposed approach can achieve better performance in simulated examples." @default.
- W76989182 created "2016-06-24" @default.
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- W76989182 date "2010-01-01" @default.
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- W76989182 title "Electricity Price Forecasting Using Neural Networks Trained with Entropic Criterion" @default.
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- W76989182 doi "https://doi.org/10.1007/978-3-642-12990-2_6" @default.
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