Penmanshiel Wind Farm Data (SCADA) 核心 · 已核验
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This dataset contains: A kmz file for Penmanshiel wind farm in the UK (for opening in e.g. Google Earth) Static data including turbine coordinates and turbine details (rated power, rotor diameter, hub height, etc.) 10-minute SCADA and events data from the 14 Senvion MM82's at Penmanshiel wind farm, grouped by year from 2016 to mid-2021, which was extracted from our secondary SCADA system (Greenbyte). Note not all signals are available for the entire period, and there is no turbine WT03 Data mappings from primary SCADA to csv signal names Site substation/PMU meter data where available for the same period Site fiscal/grid meter data where available for the same period The dataset has been released by Cubico Sustainable Investments Ltd under a CC-BY-4.0 open data license and is provided as is. However, please provide any feedback you might have on the dataset and format of the data. I'll try and add or link to additional file formats that might be easier to work with (e.g. for use with specific analysis software), and update this dataset periodically (e.g. twice a year), but please prompt me as required. Feel free to use the data according to the license, however, it would be helpful to me if you could let me know where, how and why you are using the data, so that I can highlight this to the business (and renewables industry) and hopefully promote similar data sharing initiatives. I am particularly interested in performance analysis/improvement opportunities, how the dataset can be augmented with other (open) datasets, and sharing more generally within the renewables industry. If you would like to get access to other datasets we may hold (e.g. more recent data, data from our other sites, ~30s resolution data, etc.), please let me know, and, if you have any questions or want to discuss open data and this or other initiatives, please contact me and I will endeavour to help. I would like to thank Cubico's Senior Legal Advisor & Compliance Officer, IT Director, UK Asse
本卡描述如含来自官方页的原文片段,其版权归原作者,不在本站 CC-BY 4.0 许可范围(见关于与许可)。
- 落地页
- https://zenodo.org/records/5946808
- 许可证
- CC-BY-4.0 (置信:verified_official)
- 国内可访问性
-
国内直连:直连超时(慢或不稳定,非封锁证据) (2026-07-11 检测)
非直连:可达 (2026-07-11 检测)
「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。 - 发布年份
- 2022
- 发布方
- Zenodo
- 设备类型
wind_turbine- PHM 任务
condition_monitoringanomaly_detection
传感器
| sensor_type: otherobserved_property: othermounting_note: SCADA 遥测(风速/功率/温度/转速等 10 分钟统计)+状态与工单记录 |
运行工况
| description: 运行风场连续采集(多台 Senvion 机组),含停机/降载事件记录condition_type: otheris_varying: True |
关联论文(58 篇)
仅表示这篇论文与本数据集在文献网络中相邻, 不代表该论文确实使用了本数据集。
- Penmanshiel wind farm data 2025 · 首发该数据集
- Penmanshiel Wind Farm Data 2022 · 首发该数据集
- Penmanshiel wind farm data 2022 · 首发该数据集
- A collection and categorization of open‐source wind and wind power datasets 2022 · 综述收录
- A Collection and Categorization of Open-Source Wind and Wind Power Datasets 2022 · 综述收录
- Wind Farm Cooperative Yaw Predictive Control Against Model Uncertainty Via Continuous Learning From SCADA Data 2026 · 用于方法验证
- Pretrained GNN model weights for SCADA data imputation (Kelmarsh and Penmanshiel wind farms) 2026 · 使用该数据集
- DT-DeviationState-Open: an open telemetry dataset for the deviation-detection module of a digital twin of a distributed system with energy facilities 2026 · 用于方法验证
- DT-DeviationState-Open: an open telemetry dataset for the deviation-detection module of a digital twin of a distributed system with energy facilities 2026 · 用于方法验证
- Physics‑informed clustering and ESD‑based outlier detection for wind turbine SCADA data 2026 · 候选引用(未核验)
- Wind Turbine Yaw Misalignment Detection Based on Simulated Data 2026 · 候选引用(未核验)
- A Data-Driven Generative Framework for Wind Turbine Power Prediction Across Unseen Wind Sectors 2026 · 候选引用(未核验)
- Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction 2026 · 候选引用(未核验)
- TECHNICAL COMPARATIVE BENCHMARKING STUDY: ADVANCED AI HYBRID METHODS FOR RENEWABLE ENERGY FARM OPTIMIZATION AND FORECASTING 2026 · 候选引用(未核验)
- DVTransformer: A novel approach for multi-step wind power forecasting using spatio-temporal dynamics and predictive strategies 2026 · 候选引用(未核验)
- Pretrained GNN model weights for SCADA data imputation (Kelmarsh and Penmanshiel wind farms) 2026 · 候选引用(未核验)
- Benchmarking Sensor-Fault Robustness in Forecasting 2026 · 候选引用(未核验)
- UniWind: Toward Unified Day-Ahead Wind Power Forecasting via Physics-Informed State Routing 2026 · 候选引用(未核验)
- Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction 2026 · 候选引用(未核验)
- Wind power generation forecasting system based on multi-model intelligent fusion strategy and probabilistic forecasting technology 2025 · 用于方法验证
仅列前 20 篇(首发/综述优先,按年份倒序);全量见 API。
溯源(9 条)
| 日期: 2026-07-08 |
| 来源链接: https://api.datacite.org/dois/10.5281/zenodo.5946808 日期: 2026-07-08 |
| 日期: 2026-07-08 |
| 日期: 2026-07-08 |
| 日期: 2026-07-10 |
| 日期: 2026-07-10 |
| 日期: 2026-07-11 |
| 日期: 2026-07-12 |
| 日期: 2026-07-25 |