"ANFIS Input\u2013Output Dataset for DFIG-Based Wind Energy Systems"

"This dataset provides real-time input\u2013output data for the development and validation of Adaptive Neuro-Fuzzy Inference System (ANFIS) controllers applied to a Doubly Fed Induction Generator (DFIG)\u2013based wind energy conversion system. The data were generated using an OPAL-RT OP5700 real-time simulator implementing an IEEE 39-bus power system interfaced with a grid-connected DFIG wind model. A Model-in-the-Loop (MiL) validation framework was employed to capture realistic system dynamics under variable wind speed conditions. The dataset includes controller error signals, change in error, ANFIS outputs, DC-link voltage, and active\/reactive power responses. It is structured using an 80%\u201320% training\u2013validation split and supports reproducible research in intelligent control, neuro-fuzzy systems, and wind energy integration"