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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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 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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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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Integrating autoencoder and decision tree models for enhanced energy consumption forecasting in microgrids: A meteorological data-driven approach in Djibouti
Results in Engineering, Vol. -1, Ekim 2024, ISSN: 25901230
FADOUL FATHİ FARAH,A. HASSAN ABDOULAZİZ,ÇAĞLAR RAMAZAN
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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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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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Assessing the Feasibility of Integrating Renewable Energy: Decision Tree Analysis for Parameter Evaluation and LSTM Forecasting for Solar and Wind Power Generation in a Campus Microgrid
IEEE Access, No. 11, Ekim 2023, s. 124690-124708, ISSN: 2169-3536
FADOUL FATHİ FARAH,A. HASSAN ABDOULAZİZ,ÇAĞLAR RAMAZAN
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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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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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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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Energy demand forecasting in fog computing based microgrids using ensemble learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
TUĞÇE KESKİN
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Using machine learning tools for forecasting natural gas consumption in the province of Istanbul
Energy Economics, Vol. 80, Mayıs 2019, s. 937-949, ISSN: 0140-9883
BEYCA ÖMER FARUK,ÇAYIR ERVURAL BEYZANUR,TATOĞLU EKREM,ÖZUYAR PINAR,ZAİM SELİM
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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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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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Application of ANN for Short Term Forecasting of Wind Power Density
XV International Scientific Conference, Renewable Energy & Innovative Technologies, 10 Haziran 2016
AKINCI TAHİR ÇETİN,NOĞAY HIDIR SELÇUK,GUSEİNOVİENE ELEONORA,JELENA DİKUN,ŞEKER ŞAHİN SERHAT
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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
KONYALIOĞLU AZİZ KEMAL,ÇELİK NURİ
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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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A Seasonal Grey Forecasting Model for Estimating the Monthly Natural Gas Consumption of Turkey
8th International Ege Energy Symposium and Exhibition (IEESE8), Afyon/TÜRKİYE, 11 Mayıs 2016, s. 977-981
ÖZCAN TUNCAY
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