USE OF TIME-SERIES ANALYSIS TO MODEL AND FORECAST WIND-SPEED

被引：113

作者：

HUANG, Z ^{[1
]}

CHALABI, ZS ^{[1
]}

机构：

[1] SILSOE RES INST,DIV PROC ENGN,SILSOE MK45 4HS,BEDS,ENGLAND

来源：

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS | 1995年 / 56卷 / 2-3期

关键词：

D O I：

10.1016/0167-6105(94)00093-S

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

A linear, time-varying autoregressive (AR) process is used to model and forecast wind speed. This modelling approach takes into account the non-stationary nature of wind speed. The time-varying parameters of the AR model are modelled by smoothed, integrated random walk processes. A Kalman filter is used to estimate the time-varying parameters of the AR model. The algorithm is used to forecast wind speed from 1 h to a few hours ahead.

引用

页码：311 / 322

页数：12

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