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The traditional hydrologic time series approaches are used for modeling, simulating and forecasting conditional mean of hydrologic variables but neglect their time varying variance or the second order moment.
However, if there are no field observations of the suprapermafrost groundwater level, the ANN model developed using only the two input variables of the accessible climate data also has good accuracy and high validity in simulating and forecasting the suprapermafrost groundwater level variation to overcome the data limitations and parameter uncertainty.
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In this study, the GMALSS model was used with exogenous forcing variables such as the ENSO to simulate and forecast precipitation in the East River basin, China.
The results show that both the models can forecast the groundwater level with fairly high accuracy, but the RBFN network model can be a promising tool to simulate and forecast groundwater level since it has a relatively smaller RMSE and MAE.
For the area with no direct EV historical data, a system dynamics (SD) method is implemented to simulate and forecast the scale of EVs, according to main factors that impact EV scale development greatly.
Further details on how wind availability is simulated and wind forecasts are generated are given in Section 3.3.
Based on an approach which links simulation modelling and focus groups consisting of farmers and advisors, profitability of typical farms is analysed, the impact of policy scenarios (Agenda 2000 and two alternatives) simulated and farm adaptation strategies forecasted.
Demand planning and forecasting.
And forecasting demand has not been easy.
Participate in planning and forecasting.
Daily flow with forecast uncertainty are simulated and used to determine the effect of forecast uncertainty on real-time reservoir operation of the Three Gorges Reservoir (TGR), China.
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