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

This document demonstrates a minimalist example of how to write a CHAP-compatible forecasting model. The example is written in Python, uses few variables without any lag and a standard machine ...

The "B2C Ecommerce Global Market Size & Forecast by Value and Volume Across 80+ KPIs - Databook Q4 2025 Update" has been added to ResearchAndMarkets.com's offering.

Oversimplifies trends and ignores real-world disruptions. Can’t predict economic downturns, competitor actions and shifts in customer behavior on its own. Ignores randomness; every forecast will have ...

FORECAST.ETS applies an exponential triple smoothing (ETS) algorithm to create forecasts that can include trend and seasonal ...

Abstract: Robust and reliable forecasting of renewable energy generation is essential for managing grid stability, optimising energy resources, and meeting global climate targets, such as the European ...

Storm Agnes is seen over the Bay of Biscay offshore western Europe on 27 September 2023 in this image captured by the Flexible Combined Imager on the Meteosat Third Generation satellite. Credit: ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Abstract: Accurate energy product sales forecasting is one of the core tasks of energy planning modeling and is crucial for the sustainability of the energy supply chain. However, energy product sales ...