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

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

What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

One of the biggest challenges early-stage startup founders face is predicting and managing revenue growth. In most organizations, this looks like top-down forecasting and starts with determining the ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

A Technical Assistance (TA) mission was conducted in Guatemala City, Guatemala, from June 12 to 16, 2023, to assist the authorities with the statistical component of liquidity management. The TA ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...