Investigated the applicability of ANFIS in predicting the behavior of a point absorbing type wave energy converter under regular and random waves.

The water surface elevation and the instantaneous container position of a non-buoyant body type wave energy converter with reference to the mean water level was recorded during both regular and random wave passes.

Recorded data were used to train an ANFIS algorithm to model the device and the model is used as replacement to real physical experimental setup.

The model was tested with various random waves and container displacement in time series was predicted.

It is concluded that the ANFIS model could be an effective tool to model a point absorbing wave energy converter.