@misc{Namysłowska-Wilczyńska_Barbara_3D_2010,
 author={Namysłowska-Wilczyńska, Barbara and Wilczyński, Artur},
 year={2010},
 rights={Wszystkie prawa zastrzeżone (Copyright)},
 publisher={Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu},
 description={Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu = Research Papers of Wrocław University of Economics; 2010; Nr 91, s. 95-112},
 language={eng},
 abstract={Geostatistical methods were applied to forecasting area - time (3D) electrical power demand. Spatial analyses based on node load data for two kinds of electrical power networks, i.e. the 220/400 kV network covering the whole area of Poland and the 110 kV network for a selected subarea of Poland, were carried out. The 20-year power variation structure for the two kinds of networks was analyzed using the directional variogram function. Power demand forecasts for 1 year and 5 years were made using ordinary block kriging. The results of the power estimation and forecasting of averages Z* and the estimation standard deviation ok show that the employed techniques are useful and effective. Therefore they arc recommended for use by power firms.},
 title={3D Electric Power Demand Forecasting as a Tool for Planning Electrical Power Firm's Activity by Means of Geostatistical Methods},
 type={artykuł},
 keywords={geostatistical (3D) modelling, area – time forecasting, electrical loads, directional variogram, ordinary kriging},
}