Agree that this is an issue but models can be developed to overcome it.
Bias correction modelling techniques could be used to calibrate the outcomes and this has been shown to work for ensemble weather predictions (e.g.Taylor, McSharry & Buizza, IEEE, 2009, IEEE Transactions on EnergyConversion, 24 (3), 775-782; Wind power density forecasting using ensemble predictions and time series models).
Listening to views is important and this needs to be taken into account. Weighting techniques could be developed to “de-crank” the responses and avoid NIMBY effects.