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| Title: | 風速資料的時間序列模型分析
The time series analysis for modelling wind speed data |
| Authors: | 傅偉翔
Fu, Wei-Hsiang |
| Contributors: | 鄭宗記
Cheng, Tzong-Jih
傅偉翔
Fu, Wei-Hsiang |
| Keywords: | 風速
颱風
澎湖東吉島
單根檢定
時間序列模型
韋伯分配模型
SARIMA混合迴歸模型
Box-Cox轉換
BATS模型
TBATS模型
Wind speed
Typhoon
Penghu dongi island
Unit Root Tests
Time series model
Weibull model
SARIMA model combined with regression
Box-Cox transformation
BATS model
TBATS model |
| Date: | 2020 |
| Issue Date: | 2020-09-02 11:43:02 (UTC+8) |
| Abstract: | 因冬季有東北季風吹拂，夏季有颱風侵襲，台灣地區每個月平均風速不同，利用時間序列模型建模可以解釋風速的趨勢。以往風速的建模研究只考慮到ARIMA(p,d,q)模型，且對於某地區的風速氣候趨勢也沒有深入探討，另外，由於風速的分布是接近韋伯分配的右偏分布，將Box-Cox轉換應用在ARMA模型的研究過去的文獻也較少探討。本研究本研究以台灣澎湖東吉島地區的風速的時間序列資料為例，時間點從西元1980年到2018年，將每年的時間序列資料配適韋伯分配模型、SARIMA混合迴歸模型、BATS模型與TBATS模型。研究結果發現：比起經過Box-Cox轉換的BATS模型與TBATS模型，SARIMA混合迴歸模型的配適度與預測能力表現更佳，澎湖東吉島地區的風速氣候趨勢也並非一直都是冬季較強夏季較弱。
Due to the monsoon in winter and typhoon in summer, the monthy average of wind speed in Taiwan is differet. We employe time series models to analyze the trend of wind speed. However, most of past researches only use ARIMA model and lack of explaining the climate of the wind speed in one place. Also, using the Box-Cox transformation in ARMA model has few references. This study analyzes hourly the wind speed data in Penghu dongi island in Taiwan which starts from 1980 to 2018, and fits there time series data with Weibull model, SARIMA model combined with regression, BATS and TBATS model for each year. The outcome shows that compare with BATS and TBATS model using Box-Cox transformation, SARIMA model combined with regression is better in the goodness-of-fit and prediction accuracy. Futhermore, the wind is not always strong in wind and weak in summer every year in this island. |
| Reference: | 中文文獻
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| Description: | 碩士
國立政治大學
統計學系
107354023 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0107354023 |
| Data Type: | thesis |
| DOI: | 10.6814/NCCU202001702 |
| Appears in Collections: | [統計學系] 學位論文
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