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Toplam 35 adet sonuçtan 20 tanesi görüntülenmektedir.

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Özel Aralık Girişi

Transfer learning for electricity price forecasting
SUSTAINABLE ENERGY GRIDS & NETWORKS, Vol. 34, Ocak 2023, s. 13, ISSN: 2352-4677
GÜNDÜZ SALİH, UĞURLU UMUT, ÖKSÜZ İLKAY
Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
Forecasting Electricity Generation and Shares by Energy Resources by Time Series Analysis: A Case-Study of Turkey
ISPR 2020, İstanbul/TÜRKİYE, 24 Eylül 2020, s. 115, ISSN: 21954364 21954356
KONYALIOĞLU AZİZ KEMAL,ÇELİK NURİ
Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
Efficient Data Usage for Neural-Network based Electricity Price Forecasting
40th International Symposium on Forecasting 2020, 25 Ekim 2020
GÜNDÜZ SALİH, UĞURLU UMUT, ÖKSÜZ İLKAY
İlkay Öksüz Özet Bildiri
Electricity consumption forecasting of turkey usingrecurrent neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2020
FATEMEH GANDOMI TAJRAQ
Sefer Baday Tez Yüksek Lisans Tamamlandı
Short term electrıcıty consumptıon forecastıng usıng long short-term memory cells
Enerji Enstitüsü, İstanbul Teknik Üniversitesi, 2019
ANIL TÜRKÜNOĞLU
Burak Barutçu Tez Yüksek Lisans Tamamlandı
Electricity consumption forecasting with artifical neural network for fast-moving consumer goods sector
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019
GÜLFEM YEŞİL
Hür Bersam Sidal Tez Yüksek Lisans Tamamlandı
Forecasting electricity prices in Turkey: A comparison of classical econometrics and machine learning techniques
Sosyal Bilimler Enstitüsü, İstanbul Teknik Üniversitesi, 2018
YUNUS EMRE KARAGÜLLE
Bülent Güloğlu Tez Yüksek Lisans Tamamlandı
A comparatıve analysıs of LSTM and XGBoost methods for day ahead electrıcıty prıce forecastıng
Enerji Enstitüsü, İstanbul Teknik Üniversitesi, 2020
CAHİT URAL KÜKNER
Ahmet Durmayaz Tez Yüksek Lisans Tamamlandı
Essays on electricity price modeling and forecasting
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019
UMUT UĞURLU
Oktay Taş Tez Doktora Tamamlandı
Recurrent neural network based approaches for electricity consumption forecasting
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
ALPER TOKGÖZ
Gözde Ünal Tez Yüksek Lisans Tamamlandı
Short term electricity load forecasting with deep learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
İBRAHİM YAZICI
Ömer Faruk Beyca Tez Doktora Tamamlandı
An Optimized Nonlinear Grey Bernoulli Model for Forecasting the Electricity Consumption During COVID-19 Pandemic: A Case for Turkey
INFUS 2021:International Conference on Intelligent and Fuzzy Systems, Istanbul/TÜRKİYE, 24 Ağustos 2021, s. 649-656
KONYALIOĞLU AZİZ KEMAL, BELDEK TUĞÇE, ÖZCAN TUNCAY
Aziz Kemal Konyalıoğlu Tam metin bildiri
Fuzzy grey forecasting model optimized by moth-flame optimization algorithm for short time electricity consumption
Journal of Intelligent & Fuzzy Systems, Vol. 42, No. 1, Ocak 2022, s. 129-138, ISSN: 1064-1246
TANYOLAÇ BİLGİÇ CEYDA, BİLGİÇ BOĞAÇ, ÇEBİ FERHAN
Ferhan Çebi Özgün Makale
Deep-learning-based short-term electricity load forecasting: A real case application
Engineering Applications of Artificial Intelligence, Vol. 109, Ocak 2022, ISSN: 0952-1976
YAZICI İBRAHİM, BEYCA ÖMER FARUK, DELEN DURSUN
Ömer Faruk Beyca Özgün Makale
An Optimized Nonlinear Grey Bernoulli Model for Forecasting the Electricity Consumption During COVID-19 Pandemic: A Case for Turkey
INFUS 2021:International Conference on Intelligent and Fuzzy Systems, Istanbul/TÜRKİYE, 24 Ağustos 2021, s. 649-656
KONYALIOĞLU AZİZ KEMAL, BELDEK TUĞÇE, ÖZCAN TUNCAY
Tuncay Özcan Tam metin bildiri
Market-Clearing Price Forecasting Using Keras in Turkish Day-Ahead Electricity Market
2022 IEEE 4th Global Power, Energy and Communication Conference (GPECOM), Vol. 1, No. 1, 14 Haziran 2022, s. 517-522
PÜRLÜ MİKAİL, TÜRKAY BELGİN, ANDİÇ CENK, AYDIN ESRA, CANOL BİLAL, KÜÇÜKASLAN BURAK
Esra Aydın Tam metin bildiri
Market-Clearing Price Forecasting Using Keras in Turkish Day-Ahead Electricity Market
2022 IEEE 4TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE (IEEE GPECOM2022), Nevsehir/TÜRKİYE, 14 Haziran 2022
PÜRLÜ MİKAİL, TÜRKAY BELGİN, ANDİÇ CENK, AYDIN ESRA, CANOL BİLAL, KÜÇÜKARSLAN BURAK, KÜÇÜKARSLAN BURAK
Belgin Türkay Tam metin bildiri
Empirical mode decomposition based denoising method with support vector regression for time series prediction: A case study for electricity load forecasting
Measurement, Vol. 103, Haziran 2017, s. 52-61, ISSN: 02632241
YASLAN YUSUF,BİCAN BAHADIR
Yusuf Yaslan Özgün Makale

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