中国电力2023，Vol.56Issue(10)：96-105,10.DOI:10.11930/j.issn.1004-9649.202303050
基于图卷积网络和风速差分拟合的中长期风功率预测
Medium and Long Term Wind Power Prediction Based on Graph Convolutional Network and Wind Velocity Differential Fitting
摘要
关键词
风力发电/风功率预测/图卷积神经网络/风速差分拟合/粒子群优化算法Key words
wind power generation/wind power prediction/graph convolutional neural network/wind velocity differential fitting/particle swarm optimization algorithm引用本文复制引用
陈子含,滕伟,胥学峰,丁显,柳亦兵..基于图卷积网络和风速差分拟合的中长期风功率预测[J].中国电力,2023,56(10):96-105,10.基金项目
国家自然科学基金资助项目(半监督环境下风电机组群的智能化故障诊断与寿命预测,51775186). This work is supported by National Natural Science Foundation of China(Intelligent Fault Diagnosis and Life Prediction of Wind Turbine Group under Semi-Supervised Environment,No.51775186). （半监督环境下风电机组群的智能化故障诊断与寿命预测,51775186）
