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Scopus 🔓 Açık Erişim YÖKSİS DOI Eşleşti SJR Q3

State of the art in wind speed in England using BATS, TBATS, Holt’s Linear and ARIMA model

Mausam · Ocak 2022

YÖKSİS DOI Eşleşmesi Bulundu

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YÖKSİS Kayıtları
State of the art in wind speed in England using BATS,TBATS, Holt’s Linear and ARIMA model
MAUSAM · 2022 SCI-Expanded
Dr. Öğr. Üyesi AYNUR YONAR →
State of the art in wind speed in England using BATS,TBATS, Holt’s Linear and ARIMA model
MAUSAM · 2022 SCI-Expanded
Dr. Öğr. Üyesi HARUN YONAR →
State of the art in wind speed in England using BATS ,TBATS , Holt’s Linear and ARIMA model
MAUSAM · 2022 SCOPUS
Dr. Öğr. Üyesi HARUN YONAR →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 1 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
State of the art in wind speed in England using BATS,TBATS, Holt’s Linear and ARIMA model
2022 ISSN: 0252-9416 SCI-Expanded Q4
Dr. Öğr. Üyesi AYNUR YONAR →

Makale Bilgileri

Dergi Mausam
ISSN02529416
Yayın TarihiOcak 2022
Cilt / Sayfa73 · 129-138
DOI10.54302/MAUSAM.V73I1.598
Scopus ID2-s2.0-85123861792
Erişim🔓 Açık Erişim
Özet Wind energy is one of the most important renewable energy sources in the world. Hence, the prediction of wind speed is a highly significant subject with respect to both protecting the environment and economic development. England is among the countries with an increasing interest in the potential for wind energy systems. In this study, various time series models, including BATS, TBATS, Holt’s Linear Trend and ARIMA models were applied for wind speed prediction in England and their performance was compared. The available wind speed data between 1994-07-07 and 2015-12-31 were divided into two parts: training data that is used to build up the models and testing data that is used to measure the validity of a model forecast. The results of the testing data indicate that the BATS and ARIMA outperform the other time series models according to the root mean square errors.

Yazarlar (8)

1
Mostafa Abotaleb
2
Tatiana Makarovskikh
3
Aynur Yonar
4
Amr Badr
ORCID: 0000-0003-2260-2128
5
Pradeep Mishra
6
Dhananjay Kathal
7
A. J. Williams
8
Harun Yonar

Anahtar Kelimeler

ARIMA BATS Forecasting TBATS Wind speed

Kurumlar

IGKV
Bilaspur India
Jawaharlal Nehru Krishi Vishwa Vidyalaya
Jabalpur India
Selçuk Üniversitesi
Selçuklu Turkey
South Ural State University
Chelyabinsk Russian Federation
University of New England Australia
Armidale Australia
Scimago Dergi (ISSN Eşleşmesi)
Mausam
Q3
SJR Skoru0,270
H-Index25
YayıncıIndia Meteorological Department
ÜlkeIndia
Geophysics (Q3)
Atmospheric Science (Q4)
Dergi sayfasına git

Metrikler

8
Atıf
8
Yazar
5
Anahtar Kelime

Sistemimizdeki Yazarlar

HY
HARUN YONAR
Dr. Öğr. Üyesi

Hızlı Erişim

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