AIOct 19, 2024

EPT-1.5 Technical Report

arXiv:2410.15076v21 citationsh-index: 15
Originality Incremental advance
AI Analysis

This work addresses weather prediction challenges for the European energy industry, representing an incremental improvement over previous models.

The paper tackles the problem of predicting energy-relevant weather variables, such as wind speed and solar radiation, for the European energy industry, and reports that EPT-1.5 outperforms existing AI and numerical weather models, setting a new state of the art.

We announce the release of EPT-1.5, the latest iteration in our Earth Physics Transformer (EPT) family of foundation AI earth system models. EPT-1.5 demonstrates substantial improvements over its predecessor, EPT-1. Built specifically for the European energy industry, EPT-1.5 shows remarkable performance in predicting energy-relevant variables, particularly 10m & 100m wind speed and solar radiation. Especially in wind prediction, it outperforms existing AI weather models like GraphCast, FuXi, and Pangu-Weather, as well as the leading numerical weather model, IFS HRES by the European Centre for Medium-Range Weather Forecasts (ECMWF), setting a new state of the art.

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