2026-10-14T03:14:06Z https://www.scidb.cn/oai

10.11922/sciencedb.01094 2026-04-13T10:47:13Z

2026-04-13 PVOD v1.0 : A photovoltaic power output dataset doi:10.11922/sciencedb.01094 en Basic Description:PVOD can be applied to PV power forecasting based on different methods, as well as other tasks, e.g., solar irradiance forecasting, grid stability analysis, geographic smoothing, and wind power forecasting applications.PVOD has total 271,968 records and is constructed from two data sources with a 15-min interval, namely, Numerical Weather Prediction (NWP) from meteorological service and Local Measurements Data (LMD) from PV power stations.NWP includes 7 features, i.e., global irradiance, direct irradiance, temperature, humidity, wind speed, wind direction, and pressure.Local Measurements Data includes 7 features, i.e., global irradiance, diffuse irradiance, temperature, pressure, wind direction, wind speed, and photovoltaic output records.In particular, the data timestamps are in UTC, while Beijing Time is UTC+8.Note: Before using the PVOD dataset, researchers should carefully read our dataset article [1]. Researchers should appropriately cite Reference [1] and ensure the dataset is used only for scientific research purposes.For any further questions, please state your affiliation and name in the email, send it to yaotiechui17@mails.ucas.ac.cn, and cc wangjue@sccas.cn. Emails without indicating affiliation and full name, or without required carbon copy, will not receive a response.[1] Yao T, Wang J, Wu H, et al. A photovoltaic power output dataset: Multi-source photovoltaic power output dataset with Python toolkit[J]. Solar Energy, 2021, 230: 122-130. photovoltaic power output; solar resource; NWP Tiechui Yao Jue Wang Haoyan Wu Pei Zhang Shigang Li Yangang Wang Xuebin Chi Min Shi PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/https://doi.org/10.1016/j.solener.2021.09.050. Science Data Bank