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Keywords = Thesaurus dam

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6 pages, 230 KiB  
Proceeding Paper
The Use of Stochastic Models for Short-Term Prediction of Water Parameters of the Thesaurus Dam, River Nestos, Greece
by Antonis Sentas, Lina Karamoutsou, Nikos Charizopoulos, Thomas Psilovikos, Aris Psilovikos and Athanasios Loukas
Proceedings 2018, 2(11), 634; https://doi.org/10.3390/proceedings2110634 - 30 Jul 2018
Cited by 9 | Viewed by 1973
Abstract
The scope of this paper is to evaluate the short-term predictive capacity of the stochastic models ARIMA, Transfer Function (TF) and Artificial Neural Networks for water parameters, specifically for 1, 2 and 3 steps forward (m = 1, 2 and 3). The comparison [...] Read more.
The scope of this paper is to evaluate the short-term predictive capacity of the stochastic models ARIMA, Transfer Function (TF) and Artificial Neural Networks for water parameters, specifically for 1, 2 and 3 steps forward (m = 1, 2 and 3). The comparison of statistical parameters indicated that ARIMA models could be proposed as short-term prediction models. In some cases that TF models resulted in better predictions, the difference with ARIMA was minimal and since the latter are simpler in their construction, they are proposed for short-term prediction. Artificial Neural Networks didn’t show a good short-term predictive capacity in comparison with the aforementioned models. Full article
(This article belongs to the Proceedings of EWaS3 2018)
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