Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
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Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
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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
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Transfer learning for electricity price forecasting
SUSTAINABLE ENERGY GRIDS & NETWORKS, Vol. 34, Ocak 2023, s. 13, ISSN: 2352-4677
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Efficient Data Usage for Neural-Network based Electricity Price Forecasting
40th International Symposium on Forecasting 2020, 25 Ekim 2020
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Electricity consumption forecasting of turkey usingrecurrent neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2020
FATEMEH GANDOMI TAJRAQ
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Recurrent neural network based approaches for electricity consumption forecasting
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
ALPER TOKGÖZ
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A comparatıve analysıs of LSTM and XGBoost methods for day ahead electrıcıty prıce forecastıng
Enerji Enstitüsü, İstanbul Teknik Üniversitesi, 2020
CAHİT URAL KÜKNER
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Forecasting electricity prices in Turkey: A comparison of classical econometrics and machine learning techniques
Sosyal Bilimler Enstitüsü, İstanbul Teknik Üniversitesi, 2018
YUNUS EMRE KARAGÜLLE
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Electricity consumption forecasting with artifical neural network for fast-moving consumer goods sector
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019
GÜLFEM YEŞİL
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Short term electrıcıty consumptıon forecastıng usıng long short-term memory cells
Enerji Enstitüsü, İstanbul Teknik Üniversitesi, 2019
ANIL TÜRKÜNOĞLU
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Essays on electricity price modeling and forecasting
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019
UMUT UĞURLU
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Forecasting of produced output electricity in photovoltaic power plants
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2025
TARANEH SAADATI
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Short term electricity load forecasting with deep learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
İBRAHİM YAZICI
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A comparative analysis of LSTM and lıghtgbm models in short-term electricity load forecasting: a case study from türkiye
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2025
MUHAMMET FURKAN BAYSAL
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Short Term Electricity Load Forecasting with a Nonlinear Autoregressive Neural Network with Exogenous Variables (NarxNet)
Global Joint Conference on Industrial Engineering and Its Application Areas, GJCIE 2018, Nevsehir/TÜRKİYE, 21 Haziran 2018
YAZICI İBRAHİM, TEMİZER LEYLA, BEYCA ÖMER FARUK
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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
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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
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Short Term Electricity Load Forecasting with Alternative Cross Validation Approaches
INFUS 2025, İSTANBUL/TÜRKİYE, Vol. 1531, 29 Temmuz 2025, s. 271-277
ESKI DORUK,KAYA TOLGA
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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
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