TY - JOUR N2 - 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. L1 - http://www.journals.pan.pl/Content/111105/PDF/12_115-124_00874_Bpast.No.67-1_06.02.20.pdf L2 - http://www.journals.pan.pl/Content/111105 PY - 2019 IS - No. 1 EP - 124 DO - 10.24425/bpas.2019.127340 KW - wind speed KW - artificial neural network KW - wind resource KW - measure-correlate-predict A1 - Korupczyński, R. A1 - Trajer, J. VL - 67 DA - 28.02.2019 T1 - Assessment of wind energy resources using artificial neural networks – case study at Łódź Hills SP - 115 UR - http://www.journals.pan.pl/dlibra/publication/edition/111105 T2 - Bulletin of the Polish Academy of Sciences Technical Sciences ER -