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WPBench: A Comprehensive Benchmark for Wind Power Forecasting

arXiv · AI, language, vision and robotics · article · Sep 21, 2026 · UTC

Accurate, reliable, and deployable wind power forecasting is critical for power system dispatch, renewable energy integration, and electricity market operations. Progress in this field hinges on the ability to empirically and comprehensively benchmark forecasting methods. Yet existing benchmarks fall short of supporting systematic evaluation in four key aspects: 1) limited coverage of wind power scenarios across turbine scale, variable composition, and spatial structure; 2) incomplete coverage of forecasting model families; 3) evaluation metrics misaligned with wind power requirements; and 4)

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Evidence & attribution

First collected: 2026-09-23T08:01:43.213Z. This is not the publication date.