Accurately predicting solar irradiance and wind flow patterns is requisite for renewable energy forecasting—but precision alone simply isn't enough. The data must be actionable, fast, and seamlessly ...

The Energy Systems Integration Group (ESIG) has released a report examining how utilities and planners forecast long-term electricity demand and distributed energy resources (DERs) in an era of rapid ...

Global energy markets, valued at $24.1 billion in 2024 and projected to grow to $31.2 billion by 2031, have always been influenced by weather. Solar generation depends on clear skies, wind power ...

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

Mexico is building the Coatlicue supercomputer to deliver sharper weather forecasts, earlier storm warnings and support artificial intelligence research.

Offshore wind energy generation is a central pillar of Europe's energy transition. At the same time, it is placing increasing ...

The Dutch company says its short-term trading solutions for solar and other renewable energy technologies, supports grid balancing, reduces the costs of imbalance, and optimizes energy flows in an ...

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 ...