GAN-Based Abrupt Weather Data Augmentation for Wind Turbine Power Day-Ahead Predictions

GAN-Based Abrupt Weather Data Augmentation for Wind Turbine Power Day-Ahead Predictions

This study introduces a data augmentation technique based on generative adversarial networks (GANs) to improve the accuracy of day-ahead wind power predictions. To address the peculiarities of abrupt weather data, we propose a novel method for detecting mutation rates (MR) and local mutation rates (...

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Bibliographic Details
Main Authors: Renfeng Liu, Yinbo Song, Chen Yuan, Desheng Wang, Peihua Xu, Yaqin Li
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Energies
Subjects:
day-ahead prediction
mutation rate
data augmentation
GAN model
Online Access:https://www.mdpi.com/1996-1073/16/21/7250

Internet

https://www.mdpi.com/1996-1073/16/21/7250

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