CONSUMPTION OF ELECTRICITY FORECASTING: TIME SERIES ANALYSIS, GEOSTATISTICS, ARTIFICIAL NEURAL NETWORKS (PREPRINT IBRAE-1999-05)

Preprint IBRAE-1999-05

The work is devoted to description of several approaches how to analyse and forecast electrical load and consumption. Materials of works supported by the largest elecrtoproductive world companies were used for analysis. Some approaches based on statistics, geostatistics and artificial neural networks were applied to real Russian data on electrical load. Obtained results confirm a perspectiveness of application of scientific methods to improve electrical load forecasting.

Bibliographical reference 

R. Arutyunyan, V. Bogdanov, L. Bolshov, V. Demyanov, M. Kanevski, A. Lasarev, V. Ogar, E. Savelieva, V. Timonin, S. Chernov, V. Jushin. Consumption of electricity forecasting: time series analysis, geostatistics, artificial neural networks. (in Russian). Preprint IBRAE--99--05. Moscow: Nuclear Safety Institute, June 1999. 45 p.