Table 5 Selected features for representative pareto solutions with importance metrics.

From: A multi dataset validation model for hybrid feature selection in wind energy maximum power point tracking systems

Dataset

Solution type

Feature count

Top-10 selected features (with MI scores)

RMSE

Kelmarsh

Best-Efficiency

58

Nacelle wind speed (0.487), Active power (0.453), Rotor speed (0.401), Generator torque (0.385), Blade pitch angle (0.357), Wind direction (0.323), Ambient temperature (0.299), Air density (0.277), Turbulence intensity (0.254), Power coefficient (0.235)

0.4234 kW

Kelmarsh

Balanced

97

[Same top-10 as above] + Reactive power (0.218), Grid voltage (0.205), Generator temperature (0.198), Bearing temperature (0.187), Yaw angle (0.176), Hub temperature (0.165)…

0.2567 kW

VV farms

Best-Efficiency

12

Active power (0.412), Rotor speed (0.379), Generator torque (0.346), Tip speed ratio (0.323), Power coefficient (0.301), Wind speed (0.288), Blade pitch (0.265), Ambient temp (0.243), Wind direction (0.223), Air density (0.210), Reactive power (0.198), Voltage (0.185)

0.40 kW

VV farms

Balanced

21

[All 12 from above] + Grid frequency (0.172), Humidity (0.165), Atmospheric pressure (0.158)…

0.2467 kW

RAC

Best-efficiency

2

Reference speed setpoint (0.623), Instantaneous rotor speed (0.457)

0.1389 RPM

RAC

Balanced

3

Reference speed setpoint (0.623), Instantaneous rotor speed (0.457), Output voltage (0.289)

0.1267 RPM

  1. MI scores in parentheses indicate FS from Stage 1 filtering.