Sensorless estimation of lake level by soft computing approach.

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. [ABSTRACT FROM AUTHOR]