Application of the Internet of Things in Wind Energy—Validation of Wind Turbine Power Models Using Open SCADA Data

The article asks the following questions: what is the Internet of Things, how do wind farms operate, and why is it worth integrating the IoT with renewable energy? It highlights the monitoring of wind turbine operating parameters, process automation and optimization, and failure prediction and predictive maintenance. Examples of wind farm systems utilizing the Internet of Things, as well as technologies and platforms used in monitoring, are presented. By identifying the challenges and limitations of data management, the future of the Internet of Things in wind energy is outlined. A secondary analysis of measurements from the Kelmarsh turbine illustrates machine learning in the analytical layer of an IoT system. The study assesses whether a power model selected using earlier data retains an advantage over a simple empirical power curve in a later operating period. The results highlight temporal validation, large-error assessment, and interval coverage monitoring. The calculations estimate power within the same measurement interval and do not forecast future production. In the calculations presented, the anticipated input signals and the recorded power output are derived from the same 10 min interval. The estimate is generated only after the measurements for this interval become available. No forecast horizon is defined; therefore, this analysis does not constitute a prediction of future production, nor does it demonstrate an ability to anticipate faults. To make claims regarding predictive maintenance, one would require verified records of failures or service interventions, information on operational constraints and states, diagnostic signals (e.g., vibration, component temperatures, gearbox parameters) along with their historical trends, and an evaluation of the lead time and classification error rates based on an independent dataset.