@ARTICLE{Korupczyński_R._Assessment_2019, author={Korupczyński, R. and Trajer, J.}, volume={67}, number={No. 1}, journal={Bulletin of the Polish Academy of Sciences Technical Sciences}, pages={115-124}, howpublished={online}, year={2019}, abstract={The aim of this paper is to answer the question: Are the Łódź Hills useful for electrical energy production from wind energy or not? Due to access to short-term data related to wind measurements (the period of 2008 and 2009) from a local meteorological station, the measure – correlate – predict approach have been applied. Long-term (1979‒2016) reference data were obtained from ECWMF ERA-40 Reanalysis. Artificial neural networks were used to calculate predicted wind speed. The obtained average wind speed and wind power density was 4.21 ms⁻¹ and 70 Wm⁻¹, respectively, at 10 m above ground level (5.51 ms⁻¹, 170 Wm⁻¹ at 50 m). From the point of view of Polish wind conditions, Łódź Hills may be considered useful for wind power engineering.}, type={Artykuły / Articles}, title={Assessment of wind energy resources using artificial neural networks – case study at Łódź Hills}, URL={http://journals.pan.pl/Content/111105/PDF/12_115-124_00874_Bpast.No.67-1_06.02.20.pdf}, doi={10.24425/bpas.2019.127340}, keywords={wind speed, artificial neural network, wind resource, measure-correlate-predict}, }