Time series forecasting in hydrological problems based on variant modeling
V. V. Gubarev and O. K. Alsova
The Novosibirsk State Technical University Novosibirsk E-mail: gubarev@vt.cs.nstu.ru
Pages: 40-46
Abstract
The main results of comprehensive analysis of possible ways for solving the problem of forecasting the annual inflow of the River Ob at the site of the Novosibirsk Hydroelectric Station are considered. The research is based on ideas and methods of variant modeling. A set of probabilistic models is constructed for inflow forecasting with different accuracy and term (the period between the date of forecast and the beginning of the forecast period). Ways for future research are outlined.
