TY  - JOUR
AB  - 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.
VL  - 38
IS  - 1
SN  - 0260-2288
DO  - 10.1108/SR-07-2017-0138
UR  - https://doi.org/10.1108/SR-07-2017-0138
AU  - Jovic Srdjan
AU  - Vasic Predrag S.
AU  - Jakšic Tatjana R.
PY  - 2017
Y1  - 2017/01/01
TI  - Sensorless estimation of lake level by soft computing approach
T2  - Sensor Review
PB  - Emerald Publishing Limited
SP  - 117
EP  - 119
Y2  - 2024/04/25
ER  -