中国电机工程学报2026，Vol.46Issue(18)：6597-6606,中插2,11.DOI:10.13334/j.0258-8013.pcsee.252015
基于流匹配模型的海上风能资源时序超分辨率评估方法
Temporal Super-resolution Offshore Wind Energy Resources Assessment Method Based on Flow Matching Model
摘要
Abstract
Offshore wind power,as a key component of clean energy,has experienced rapid development in recent years.However,achieving high-temporal resolution and long-term assessments of offshore wind resources remains challenging due to limitations in marine meteorological monitoring capabilities and the high computational complexity of Earth System Model(ESM).To address this issue,this paper proposes a temporal flow matching model that integrates historical meteorological monitoring data to perform bias correction and temporal resolution enhancement on ESM simulations.The method employs differential equations to model the continuous transformation path from low-resolution to high-resolution data and fits the velocity field during the probability distribution transformation to characterize the target data distribution.Using ERA5 reanalysis data combined with offshore meteorological buoy observations for simulation and validation,the results demonstrate that the proposed method can effectively simulate sub-hourly wind speed fluctuations and capture the uncertainty in wind energy resources.This work provides a novel technical pathway for offshore wind resource assessment.关键词
海上风电/流匹配模型/风能资源/超分辨率/偏差校正Key words
offshore wind power/flow matching model/wind energy resource/super-resolution/bias correct分类
信息技术与安全科学引用本文复制引用
刘楠,董骁翀,宋赟祯,陈来军,梅生伟..基于流匹配模型的海上风能资源时序超分辨率评估方法[J].中国电机工程学报,2026,46(18):6597-6606,中插2,11.基金项目
国家自然科学基金项目(U22A20224) （U22A20224）
国家资助博士后研究人员计划(BX20250414). Project Supported by National Natural Science Foundation of China(U22A20224) （BX20250414）
China Postdoctoral Science Foundation(BX20250414). （BX20250414）
