A Modeling Method for Micro Wind Speed Prediction of Wind Turbines Based on Time Series Analysis

A Modeling Method for Micro Wind Speed Prediction of Wind Turbines Based on Time Series Analysis

Affected by meteorological conditions, terrains, locations and specific designs, wind turbines exhibit significant uncertainties and disparities in wind energy input, which makes it difficult to predict their output power. This paper aims to enhance operational control balance in wind turbines and a...

Full description

Saved in:
Bibliographic Details
Main Authors: ZHANG Jiayou, YAN Yibing, WEN Kun, HU Kaikai, CHEN Gang
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2024-04-01
Series:Kongzhi Yu Xinxi Jishu
Subjects:
wind turbines
wind speed prediction
time series analysis
non-stationary
autoregressive integrated moving average(ARIMA) model
Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2024.02.002
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items