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Turkey's electricity consumption forecasting using genetic programming

Energy Sources Part B Economics Planning and Policy · Ekim 2011

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YÖKSİS Kayıtları
Turkey s Electricity Consumption Forecasting Using Genetic Programming
Energy Sources, Part B: Economics, Planning, and Policy · 2011 SCI-Expanded
Dr. Öğr. Üyesi UĞUR TAŞKIRAN →
Turkey s Electricity Consumption Forecasting Using Genetic Programming
Energy Sources, Part B: Economics, Planning, and Policy · 2011 SCI-Expanded
Dr. Öğr. Üyesi UĞUR TAŞKIRAN →
Turkey s Electricity Consumption Forecasting Using Genetic Programming
Energy Sources, Part B: Economics, Planning, and Policy · 2011 SCI-Expanded
Prof. Dr. MEHMET ÇUNKAŞ →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 4 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
Long Term Electricity Demand Forecasting in Turkey Using Artificial Neural Networks
2010 ISSN: 1556-7249 SCI-Expanded
Prof. Dr. MEHMET ÇUNKAŞ →
Turkey s Electricity Consumption Forecasting Using Genetic Programming
2011 ISSN: 1556-7249 SCI-Expanded
Dr. Öğr. Üyesi UĞUR TAŞKIRAN →
Long Term Electricity Demand Forecasting in Turkey Using Artificial Neural Networks
2010 ISSN: 1556-7249 SCI-Expanded
Prof. Dr. ADEM ALPASLAN ALTUN →
Turkey s Electricity Consumption Forecasting Using Genetic Programming
2011 ISSN: 1556-7249 SCI-Expanded
Dr. Öğr. Üyesi UĞUR TAŞKIRAN →

Makale Bilgileri

Dergi Energy Sources Part B Economics Planning and Policy
ISSN15567249
Yayın TarihiEkim 2011
Cilt / Sayfa6 · 406-416
DOI10.1080/15567240903047558
Scopus ID2-s2.0-79961041337
Özet Turkey's energy demand has been increasing rapidly as a result of rapid urbanization and industrialization. The energy investment requirement will be US$130 billion by the year 2020. Electricity energy has a vital importance among the energy sector. In this study the current state of the electricity energy production and consumption of Turkey is investigated and the electricity energy consumption is forecasted by using genetic algorithm. The obtained results are compared with conventional regression analyses techniques, and the estimated values of the Ministry of Energy and Natural Resources. The electricity demand in the year 2020 is estimated to be 315.02 billion kWh compared to the 189.52 billion kWh needed in the year 2007. © Taylor & Francis Group, LLC.

Yazarlar (2)

1
Mehmet Çunkaş
2
Uğur Taşkıran

Anahtar Kelimeler

electricity consumption energy forecasting genetic programming Turkey

Kurumlar

Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Energy Sources, Part B: Economics, Planning and Policy
Q2
SJR Skoru0,540
H-Index60
YayıncıTaylor and Francis Ltd.
ÜlkeUnited Kingdom
Chemical Engineering (miscellaneous) (Q2)
Energy Engineering and Power Technology (Q2)
Environmental Science (miscellaneous) (Q2)
Fuel Technology (Q2)
Nuclear Energy and Engineering (Q2)
Renewable Energy, Sustainability and the Environment (Q3)
Dergi sayfasına git

Metrikler

24
Atıf
2
Yazar
4
Anahtar Kelime

Sistemimizdeki Yazarlar

MÇ
MEHMET ÇUNKAŞ
Prof. Dr.

Hızlı Erişim

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