Long-term electrical energy demand forecasting by using artificial intelligence/machine learning techniques
Electrical Engineering, Vol. 106, No. 4, Ocak 2024, s. 5229-5251, ISSN: 0948-7921
ÖZDEMİR GÜLCİHAN
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Residential energy consumption analysis through datadriven energy forecasting with environmental andbehavioural factors
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2026
MİRAÇ DURHAN
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Residential energy consumption analysis through datadriven energy forecasting with environmental andbehavioural factors
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2026
MİRAÇ DURHAN
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Probabilistic CDF-based load forecasting model in a power distribution system
Sustainable Energy, Grids and Networks, Vol. 38, Ocak 2024, ISSN: 2352-4677
ÖZDEMİR GÜLCİHAN
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Fuzzy-Enhanced Smart Building Energy
Forecasting: A Case Study from the 2025 GECAD
Competition
2025 14th International Conference on Renewable Energy Research and Applications (ICRERA), Viyana/AVUSTURYA, 27 Ekim 2025, ISSN: 2572-6013
GÜNEŞ CAN GÖRKEM,ÖZDEMİR GÜLCİHAN
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Forecasting Domestic Energy Demand in Turkey with an Artificial Neural Network Approach
7th International Ege Energy Symposium & Exhibition, Uşak/TÜRKİYE, 18 Haziran 2014
DEMİR MURAT EMRE,ARBAK ALTAY,GÜL ENDER,ÖZDEMİR FARUK
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Forecasting of Natural Gas Consumption by Artificial Neural Networks in Konya Region
INERMA’17, II. International Energy Raw Materials and Energy Summit, İstanbul/TÜRKİYE, 27 Eylül 2017, s. 9-14
AKIN BURCU,BARUTÇU BURAK
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Türkiye's Renewable Energy Outlook: GCM-Based Analysis and Future Projections Using the Extreme Gradient Boosting Algorithm
The General Assembly 2024 of the European Geosciences Union (EGU), Viyana/AVUSTURYA, 14 Nisan 2024
GÜVEN DENİZHAN,ŞEN ÖMER LÜTFİ,KAYALICA MEHMET ÖZGÜR
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Forecasting Solar Energy: Leveraging Artificial Intelligence and Machine Learning for Sustainable Energy Solutions
Journal of Economic Surveys, Vol. 39, No. 5, Aralık 2025, s. 1837-2334, ISSN: 0950-0804
SAADATİ TARANEH,BARUTÇU BURAK
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Türkiye's Renewable Energy Outlook: GCM-Based Analysis and Future Projections Using the Extreme Gradient Boosting Algorithm
The General Assembly 2024 of the European Geosciences Union (EGU), Viyana/AVUSTURYA, 14 Nisan 2024
GÜVEN DENİZHAN,ŞEN ÖMER LÜTFİ,KAYALICA MEHMET ÖZGÜR
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Forecasting Crude Oil Market Volatility with High Dimensional Features: A Machine Learning Application with Stacking
The Journal of Energy Markets, Ocak 2025, ISSN: 1756-3615
GÖNCÜ AHMET,KUZUBAŞ TOLGA UMUT
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Improving WRF GHI Forecasts with Model Output Statistics Progress in Clean Energy, Volume 1.
Cham/İSVİÇRE, 2015, s. 291-299, IMPACT OF INTEGRATED CLEAN ENERGY ON THE FUTURE OF THE MEDITERRANEANENVIRONMENT
BARUTÇU BURAK, TANRIÖVER ŞEYDA TİLEV, SAKARYA SERİM, İNCECİK SELAHATTİN, SAYINTA F MERT, ÇALIŞKAN ERHAN, KAHRAMAN ABDULLAH, AKSOY BÜLENT, KAHYA CEYHAN, TOPÇU HATİCE SEMA
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Solar Energy Forecasting Using Machine Learning Models
INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS SCIENCE & ENGINEERING AND HIGH TECH DEVICE APPLICATIONS (ICMATSE22), 27 Kasım 2022
ER ZUHAL, GENÇER YUSUF
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Energy demand forecasting in fog computing based microgrids using ensemble learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2021
TUĞÇE KESKİN
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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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Least Squares Boosting Algorithm on Short Term Load Forecasting
8th International Ege Energy Symposium and Exhibition (IEESE8), Afyon/TÜRKİYE, 11 Mayıs 2016, s. 964-970
KÜÇÜKDENİZ TARIK,ÖZCAN TUNCAY
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Comparison of Auto-Regressive Model and Artificial Neural Networks for feedstock supply forecasting in first generation bioethanol production
International Conference on Energy and Thermal Engineering: Istanbul 2017 (ICTE 2017), İstanbul/TÜRKİYE, 25 Nisan 2017
BAYRAKDAR ATEŞ EZGİ, BARUTÇU BURAK, KARAOSMANOĞLU FİLİZ
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Forecasting on first generation bioethanol production: A comparison of selected linear and non-linear models
Journal of Renewable and Sustainable Energy, Vol. 9, No. 4, Temmuz 2017, s. 43101, ISSN: 1941-7012
BAYRAKDAR ATEŞ EZGİ, BARUTÇU BURAK, KARAOSMANOĞLU FİLİZ
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An Improved Grey Forecasting Model for Estimating the CO2 Emission of Turkey
8th International Ege Energy Symposium and Exhibition (IEESE8), Afyon/TÜRKİYE, 11 Mayıs 2016, s. 958-963
TÜYSÜZ FATİH,ÖZCAN TUNCAY
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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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