Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4987718 | Desalination | 2017 | 17 Pages |
Abstract
It is concluded that the ANN models that were used after training and validation were able to successfully manage the random and widely varying available electrical power. The statistical hypothesis testing that was also performed showed no significant statistical differences (at 5% level) between the errors (both MAE and MAPE) committed when adapting power consumption of the plant to the available electrical power in the various operational tests using different feedwater characteristics.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
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Authors
Pedro Cabrera, José A. Carta, Jaime González, Gustavo Melián,