Sharing wind power forecasts in electricity markets: A numerical analysis

Lazaros Exizidis,S. Jalal Kazempour,Pierre Pinson,Zacharie De Grève,François Vallée

Applied Energy（2016）

引用 34|浏览3

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摘要

•Information sharing among different agents can be beneficial for electricity markets.•System cost decreases by sharing wind power forecasts between different agents.•Market power of wind producer may increase by sharing forecasts with market operator.•Extensive out-of-sample analysis is employed to draw reliable conclusions.

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关键词

Wind power,Forecast sharing,Day-ahead,Real-time,Two-stage market clearing,Out-of-sample simulation

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