Fast Numerical Wind Turbine Candidate Site Evaluation

A long-term measured wind speed time series from the location is typically used when deciding on placing a small turbine at particular location. These data take long to collect. The presented novel method of measuring for shorter time, using measurement training an experimental model, and predicting in longer period enables one avoid most wait collection. As model inputs, available signals that consist measurements meteorological stations vicinity numerical weather predictions are used. Various possible modelling methods based linear or nonlinear regression models tested field sites. study area continental with complex terrain, hilly topography, diverse land use, no prevailing wind. It shown gives good results, showing advantageous, it easy enough use be practically applicable projects limited budget. better suited turbines than big ones because sited low heights areas average speeds, where prediction less accurate, tend small.