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1 – 2 of 2Srdjan Jovic, Predrag S. Vasic and Tatjana R. Jakšic
The purpose of the paper is to evaluate a lake lavel prediction model. Lake-level prediction is very important task for different crucial issues like planning of water resource…
Abstract
Purpose
The purpose of the paper is to evaluate a lake lavel prediction model. Lake-level prediction is very important task for different crucial issues like planning of water resource, controlled drainage, etc. Therefore, in this study, a soft computing approach was applied to predict the lake levels based on the different prediction horizons.
Design/methodology/approach
The main focus was to establish a sensorless estimation of the lake level based on different prediction horizons. Support vector regression approach was implemented for the lake-level prediction, as this approach is suitable for highly nonlinear prediction problems.
Findings
Ludoš Lake in Serbia was used for analysis.
Originality/value
According the results, the soft computing models can be used confidently for the lake-level prediction based on the prediction accuracy.
Details