Wind Speed Virtual Sensor for Small Wind Turbine
摘要
Renewable energy sources are increasing their importance and presence in the energy production sector due to their null or almost null greenhouse gas emissions. However, the main disadvantage of this type of system is the dependence on weather conditions. This research proposes using a virtual sensor to measure the wind speed 10 m above ground through variables measured at ground level. The modeling process followed a feature selection step before applying four machine learning techniques. The implemented virtual sensor accurately estimated the wind speed at 10 m, an interesting tool to eliminate the physical sensor’s buy, installation, and maintenance.