The field of engineering design increasingly relies on rigorous methods in reliability analysis and uncertainty quantification to ensure that structures, systems and materials perform as intended ...

A new technique enables huge machine-learning models to efficiently generate more accurate quantifications of their uncertainty about certain predictions. This could help practitioners determine ...

Quantifying uncertainty in carbon accounting is essential at scales ranging from individual projects to country-level compensation for reducing emissions from deforestation and forest degradation.

This workshop brought together experts from various disciplines covering different aspects of uncertainty quantification. It focused mainly on the following three topics: the characterisation of ...

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 ...