Bayesian uncertainty analysis represents a powerful statistical framework that integrates prior knowledge with observed measurement data to quantify uncertainty in a consistent probabilistic manner.

Predicting the future is extremely difficult 1, yet it is nonsensical to ignore the knowledge and understanding we can acquire from experts when making decisions. It is well understood that using ...

PV yield forecasts are widely considered to be inaccurate, partly because they underestimate uncertainty. Image: Tilt Renewables. The uncertainty in energy yield forecasts is frequently underestimated ...