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Exploring wind power prognosis data on Nord Pool: the case of Sweden and Denmark

机译:探索北部池风力预测数据:瑞典和丹麦的案例

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摘要

A good understanding of forecast errors is imperative for greater penetration of wind power, as it can facilitate planning and operation tasks. Oftentimes, public data is used for system studies without questioning or verifying its origin. In this study, the authors propose a methodology to verify public data with the example of wind power prognosis published by Nord Pool. They focus on Swedish data and identify a significant bias that increases over the forecast horizon. In order to explore the origin of this bias, they first compare against Danish forecast and then describe the underlying structure behind the submission processes of this data. Based on the balance settlement structure, they reveal that Swedish 'wind power prognoses' on Nord Pool are in fact rather wind production plans than technical forecasts. They conclude with the recommendation for improved communication and transparency with respect to the terminology of public data on Nord Pool. They stress the importance for the research community to check publicly available input data before further use. Furthermore, the root-mean-square error and the spatio-temporal correlation between the errors in the bidding areas at different horizons are presented. Even with this compromised data, a stronger correlation is identified in neighbouring areas.
机译:对预测错误的良好理解是更大的风电渗透,因为它可以促进规划和运营任务。通常,公共数据用于系统研究,而不质疑或验证其起源。在这项研究中,作者提出了一种方法来验证公共数据,并通过NORD池出版的风力预后的例子。他们专注于瑞典数据,并确定超过预测地平线的重要偏见。为了探讨这一偏差的起源,他们首先与丹麦预报进行比较,然后描述该数据提交过程背后的底层结构。根据余额沉降结构,他们揭示了诺敦池的瑞典“风力推动”实际上是风力生产计划而不是技术预测。他们签订了关于关于北欧池术语的改善沟通和透明度的建议。他们强调研究界的重要性在进一步使用之前检查公开的输入数据。此外,提出了根均方误差和不同地平线的探测区域中的误差之间的误差之间的时空相关性。即使使用这种受损数据,在邻近区域中也识别出更强的相关性。

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