The phrase "affecting the forecast of" is correct and usable in written English.
It can be used when discussing factors or variables that influence predictions or estimates in various contexts, such as weather, finance, or project planning.
Example: "Several unexpected events are affecting the forecast of our sales for the upcoming quarter."
Alternatives: "influencing the prediction of" or "impacting the estimate of".
In other words, the number of hidden nodes is considered a potential influential factor in DOE that affect the forecasting ability of the proposed ANN.
The scenario analyses show that varying the adoption rates of the different ship types affects the forecast volume.
GALOCAD project "Development of a Galileo Local Component for the nowcasting and forecasting of atmospheric disturbances affecting the integrity of high precision Galileo applications" aims to perform a detailed study on ionospheric small- and medium-scale structures and to assess the influence of these structures on the reliability of Galileo precise positioning applications.
Factors affecting the accuracy of numerical predictions include the density and quality of observations used as input to the forecasts, along with deficiencies in the numerical models themselves.
We assume that such a transition to warn-on-forecast will not only change the role of the forecaster (Stuart et al. 2006), but will also affect the practices of forecast end-users and responders to a warning.
Issues that were neither forecasted during the design phase nor during the laboratory testing surfaced during deployment, thus affecting the effectiveness of the proposed solution.
In fuzzy time series models, lengths of intervals always affect the results of forecasting.
Another option would be to sell a forecast of the forecast of the forecast.
Trust issues between climate scientists and local communities, which are the end users of the forecasts, can also affect the effectiveness of risk alerts, as pointed out by Archer (2003), Hansen et al. (2011), and Baudoin et al. (2014).
It would be interesting to add stochastic noise directly to the demand profile to see how unexpected changes in market demand affect the accuracy of user's forecasts, and subsequently the utilisation of resources.
Others pay meteorologists to forecast weather that will affect the price of oil and wheat.
