Transfer learning for electricity price forecasting
SUSTAINABLE ENERGY GRIDS & NETWORKS, Vol. 34, Ocak 2023, s. 13, ISSN: 2352-4677
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Electricity Price Forecasting Using Recurrent Neural Networks
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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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Electricity Price Forecasting Using Recurrent Neural Networks
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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
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Essays on electricity price modeling and forecasting
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019
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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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Recurrent neural network based approaches for electricity consumption forecasting
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
ALPER TOKGÖZ
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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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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 of turkey usingrecurrent neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2020
FATEMEH GANDOMI TAJRAQ
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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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Short term electricity load forecasting with deep learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
İBRAHİM YAZICI
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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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Forecasting Market Clearing Prices in Electricity Markets with Time Series Based Machine Learning Models
INFUS 2024: Intelligent and Fuzzy Systems, ÇANAKKALE/TÜRKİYE, No. 1090, 16 Temmuz 2024, s. 20-28
YAĞMUR MEHMET BORA,TURHAN KAGAN,KAYA TOLGA
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Load Forecasting Using Multivariate Adaptive Regression Splines for Turkish Electricity System
28th European Conference on Operational Research (EURO 2016), POZNAN/POLONYA, 3 Temmuz 2016
NALÇACI GAMZE, ÖZMEN AYŞE, WEBER GERHARD WİEHELM, GÜL ÖMER MELİH
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A LONG SHORT TERM MEMORY APPLICATION ON THE TURKISH INTRADAY ELECTRICITY PRICE FORECASTING
4th Global Business Research Congress, İstanbul/TÜRKİYE, Vol. 7, No. 1, 24 Mayıs 2018, s. 126-130
YORULMUŞ MUHAMMED HAKAN,UĞURLU UMUT,TAŞ OKTAY
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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
YASLAN YUSUF,BİCAN BAHADIR
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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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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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