Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

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

Large Quantitative Models (LQMs) are becoming increasingly significant in the world of technology and finance. These models, built on the foundations of physics, chemistry, economics and other ...

Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. Weather forecasts are notoriously unreliable. Most people can relate ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

Jan 21 (Reuters) - Quantum startup SandboxAQ said its large quantitative models (LQMs) will be available on Google Cloud, the company told Reuters on Tuesday, as cloud providers look to AI tech to ...

Forbes contributors publish independent expert analyses and insights. I am a risk communicator focused on the impact of weather on business. Jul 15, 2025, 08:30am EDT The combination of AI, advanced ...

What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions ...

Paul Winters receives funding from the Gates Foundation. He is the Executive Director of AIM for Scale. Amir Jina receives funding from AIM for Scale. For farmers, every planting decision carries ...