/DCIC-The-Estimation-of-SCADA-Data-Loss-in-Offshore-Wind-Farm

We extract actual SCADA data of a certain offshore wind farm and artificially remove some of the data, including but not limited to deleting all data of a certain time period, data of a certain turbine at a certain time, some fields of a certain turbine at a certain time, etc. The applicant needs to use the remaining data to recover the deleted data, and the accuracy of the recovery shall be the final evaluation benchmark

Primary LanguageJupyter Notebook

DCIC-The-Estimation-of-SCADA-Data-Loss-in-Offshore-Wind-Farm

Online Score:53793055(A榜),感谢Demon大佬提交的分数

感谢yin的修改:#2

Online Score:0.60604954(A榜)

数据背景:

本赛题使用的数据来源于实际海上风电场运营期间产生的远程监控数据（也称SCADA数据），包含机组运行状态密切相关的传感器数据和报警信息等，每隔一定时间周期（大约为7秒）记录一次。该数据主要用于机组的运行状态监控、故障诊断分析以及机组性能优化等方面。

赛题任务:

我们抽取某一海上风电场实际SCADA数据，并人为地去除其中的部分数据，包括但不限于删去某个时间段的全部数据、某台机组在某段时间的数据、某台机组在某段时间的部分字段信息等等，参赛者需要利用剩余数据对删去的数据进行恢复，最终以恢复的准确度为评价基准。

(We extract actual SCADA data of a certain offshore wind farm and artificially remove some of the data, including but not limited to deleting all data of a certain time period, data of a certain turbine at a certain time, some fields of a certain turbine at a certain time, etc. The applicant needs to use the remaining data to recover the deleted data, and the accuracy of the recovery shall be the final evaluation benchmark.)