Analysis of Wind Characteristics for Grid-Tied Wind Turbine Generator Using Incremental Generative Adversarial Network Model

Analysis of Wind Characteristics for Grid-Tied Wind Turbine Generator Using Incremental Generative Adversarial Network Model

Wind attribute analysis is a crucial aspect of meteorological and environmental research, with applications ranging from renewable energy generation to weather forecasting. However, existing models encounter several challenges in accurately and comprehensively characterizing wind positions. In this...

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Bibliographic Details
Main Authors: Ramesh Kumar Behara, Akshay Kumar Saha
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Renewable energy system (RES)
wind energy integration (WEI)
power system stability (PSS)
unsupervised learning (USL)
incremental tuned generative adversarial network (IGAN)
doubly fed induction generator (DFIG)
Online Access:https://ieeexplore.ieee.org/document/10458670/

Internet

https://ieeexplore.ieee.org/document/10458670/

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