@ARTICLE{Piotrowski_P._Comprehensive_2020, author={Piotrowski, P. and Baczyński, D. and Robak, S. and Kopyt, M. and Piekarz, M. and Polewaczyk, M.}, volume={68}, number={No. 4 (i.a. Special Section on Advances in Electrical Power Engineering)}, journal={Bulletin of the Polish Academy of Sciences Technical Sciences}, pages={697-709}, howpublished={online}, year={2020}, abstract={This paper discusses three variants of how e-mobility development will affect the Polish Power System. Multivariate forecasts of annual new registrations of electric vehicles for up to seven years are developed. The forecasts use the direct trend extrapolation methods, methods based on the deterministic chaos theory, multiple regression models, and the Grey model. The number of electric vehicles in use was determined for 2019‒2025 based on the forecast new registrations. The forecasts were conducted in three variants for the annual electric energy demand in 2019‒2025, using the forecast number of electric vehicles and the forecast annual demand for electric energy excluding e-mobility. Forecasts were conducted in three variants for the daily load profile of power system for winter and summer seasons in the Polish Power system in 2019‒2025 based on three variants of the forecast number of electric vehicles and forecast relative daily load profiles.}, type={Article}, title={Comprehensive forecast of electromobility mid-term development in Poland and its impacts on power system demand}, URL={http://czasopisma.pan.pl/Content/117262/PDF/06_697-709_01508_Bpast.No.68-4_27.08.20.pdf}, doi={10.24425/bpasts.2020.134180}, keywords={mid-term forecast, electromobility, electric vehicles (EV), power system demand, load profile}, }