Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network

Serafí-n Alonso, Antonio Morán Álvarez, Daniel Pérez 0001, Miguel A. Prada, Juan J. Fuertes-Martínez, Manuel Domí-nguez. Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network. In Lazaros Iliadis, Plamen Parvanov Angelov, Chrisina Jayne, Elias Pimenidis, editors, Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the EANN 2020, Halkidiki, Greece [online only because of the COVID-19 pandemic], June 5-7, 2020. Volume 2 of Proceedings of the International Neural Networks Society, pages 155-166, Springer, 2020. [doi]

Abstract

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