Dr Yves R. Sagaert emphasizes the importance of organizations shifting away from traditional static budgeting, which relies ...

AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.

The Atlanta Fed's GDPNow forecasting model has done a complete 180 over the past two months. Uncertainty regarding President Trump's tariff policy, coupled with the third highest valuation premium for ...

At the Met Office, we strive to provide the most accurate and reliable forecasts possible, using advanced techniques that account for uncertainty and variability. One of the most powerful tools in our ...

In today’s fast-moving economy, the only constant is uncertainty. Businesses in every industry are dealing with unpredictable challenges like rising tariffs, supply chain issues, changing consumer ...

Sparse early-stage data limits accurate geological risk assessment, increasing the chance of undetected hazards ahead of the TBM. By integrating borehole-derived information through an observation ...

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 ...

Macroeconomic predictors dominate the pick-up rate, with UNRATE ranking the highest at 25.64%, followed by GPRH at 20.86%, and TPU at 20.80%. These predictors capture key aspects of labor market ...

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...