Explainable artificial intelligence (XAI) is a branch of AI that helps users to peek inside the black-box of AI models to understand how their output is generated and whether their forecasts can be ...

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

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Net-demand energy forecasts are critical for competitive market participants, such as in the Electric Reliability Council of Texas (ERCOT) and similar markets, for several key reasons. For example, ...

Wind power technology in 2025 pushed well beyond incremental upgrades, with engineers rethinking how, where, and even what wind turbines look like. From floating giants the size of city blocks and ...

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