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 ...

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

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 ...

How does Thermo Fisher Scientific's analytical software support the calculation of measurement uncertainty? Wilhelm Sanders: According to DIN EN ISO 17025, it is necessary to calculate the measurement ...

The IAEA supports Member States in the development of advanced water cooled reactor (WCR) technology by fostering information exchange and collaborative research and development, aimed at improving ...