Abstract: Accurate short-term load forecasting (LF) under extreme weather is vital for the sustainable development of energy systems. This paper proposes a basic framework for future load forecasting ...
We introduce LaDCast, the first latent diffusion model for ensemble weather forecasting. It showcases the feasibility of using the latent approach for weather forecasting, which is an alternative ...
Government policy and the data centre industry are failing to differentiate between “good AI” and “bad AI”, the Oireachtas committee on artificial intelligence has heard. “The problem is that people ...
It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...
As fire-weather risk expands beyond California, utilities are turning to sub-kilometer, asset-level forecasts to support public safety power shutoff decisions they can defend in front of regulators.
Abstract: Connected Autonomous Vehicles (CAVs) are being tested globally, but their performance in complex scenarios remains suboptimal. While cooperative driving improves CAV performance by ...
This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources. Important If you are ...
A possible Seattle heatwave is showing up on the long-range forecast, and Western Washington should pay attention. Take it with an appropriate grain of salt. Some forecast models are flirting with a ...
A new AI weather forecasting tool released today by the startup WindBorne Systems offers more frequent and accurate predictions on key variables than the world-leading system developed by European ...
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