Electricity price forecasting is a critical tool in managing and planning energy markets worldwide. Accurate predictions underpin decision‐making for utilities, market traders, and policy makers by ...

This article compares the skill of medium-range probabilistic quantitative precipitation forecasts (PQPFs) generated via two postprocessing mechanisms: 1) the mixed-type meta-Gaussian distribution ...

David F Hendry receives funding from the Open Society Foundations and the Oxford Martin School. Grayham Mizon has received funding from Economic and Social Research Council. Unpredictability is ...

This is a preview. Log in through your library . Abstract Conventional statistical postprocessing techniques offer limited ability to improve the skills of probabilistic guidance for heavy ...

Many government contractors still rely on fragmented systems and static spreadsheets to project what’s ahead. That approach may work for tracking awarded contracts, but it fails to support confident ...

Adaptive forecasting is a term used to describe several different methods of determining the likelihood of events occurring based on statistical data and variable analysis. These forecasting methods ...

Future events are far from certain in the business world. This is especially true for smaller businesses, which tend to have more volatility than larger organizations, or newer businesses without a ...

The probability in weather forecasts leaves many people perplexed on if, or when, they should continue with plans, cancel or delay. As summer ramps up across North America, millions of travelers, ...