A zero-shot pipeline with physics-informed synthetic histories lets time-series foundation models outperform baselines by 1.7-2x in cold-start PV forecasting on 440 sites across four datasets.
pvlib python: a python package for modeling solar energy systems
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Using historic redispatch time series, low price levels in regional redispatch markets can produce notable reductions in green hydrogen production costs and encourage grid-beneficial electrolyser siting, while high prices can eliminate the cost advantage and discourage market participation.
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Time series Foundation Models based on Physics-Informed Synthetic Histories for Cold-Start Photovoltaic Forecasting
A zero-shot pipeline with physics-informed synthetic histories lets time-series foundation models outperform baselines by 1.7-2x in cold-start PV forecasting on 440 sites across four datasets.
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Negative redispatch power for green hydrogen production: Game changer or lame duck? A German perspective
Using historic redispatch time series, low price levels in regional redispatch markets can produce notable reductions in green hydrogen production costs and encourage grid-beneficial electrolyser siting, while high prices can eliminate the cost advantage and discourage market participation.