风力发电非常环保，且风能蕴量巨大，因此日益受到世界各国的重视。但是对于实际采集 到的测风数据及功率数据都存在各种各样的问题，需要有准确的实测数据来分析风电特征及发电规律 而且从风场收集到的数据中通常包含异常数据点，造成计算机进行数据筛选和排序的速度比较慢，因此 需要可靠有效的风电数据处理方法来筛选合理有效的数据以进行风电功率预测建模。
active 2023-09-24 → 2026-04-13 (UTC)
Activity over time
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Line chart, 933 days from 2023-09-24 to 2026-04-13. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 27 total, peak 3 in a day.
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Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 27 stars here means stars gained during the window, not the repo's star count.