Dr. Öğr. Üyesi ERGUN UZLU

1. The contribution of hydropower in meeting electric energy needs of MINT countries

Uzlu E., Dede T.

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji , cilt.14, sa.1, ss.170-196, 2026 (TRDizin)

2. Development of hybrid models to forecast water demand in the city of Ankara

Uzlu E., Dede T.

Soft Computing , cilt.29, sa.17-18, ss.5401-5414, 2025 (SCI-Expanded, Scopus)

3. Modeling and Forecasting of Water Demand in the City of Istanbul Using Artificial Neural Networks Optimized with Rao Algorithms

UZLU E.

Arabian Journal for Science and Engineering , cilt.49, sa.10, ss.13477-13490, 2024 (SCI-Expanded, Scopus)

4. Determination of Grain Sorting in an Accretion Profile Caused by Cross-Shore Sediment Transport

UZLU E.

Thalassas , cilt.40, sa.1, ss.13-29, 2024 (SCI-Expanded, Scopus)

5. Estimates of hydroelectric energy generation in BRICS-T countries using a new hybrid model

UZLU E.

Energy Sources, Part B: Economics, Planning and Policy , cilt.19, sa.1, 2024 (SCI-Expanded, Scopus)

6. Estimates of hydroelectric energy generation in Turkey with Jaya algorithmoptimized artificial neural networks

Uzlu E.

Gazi University Journal of Science Part C:DESIGN AND TECHNOLOGY , cilt.9, sa.3, ss.446-462, 2021 (TRDizin)

7. Estimates of greenhouse gas emission in Turkey with grey wolf optimizer algorithm-optimized artificial neural networks

UZLU E.

NEURAL COMPUTING & APPLICATIONS , cilt.33, sa.20, ss.13567-13585, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

8. Jaya Algoritması ile Optimize Edilmiş Yapay Sinir Ağlarını Kullanarak Türkiye’de Elektrik Enerjisi Tüketiminin Tahmini

Uzlu E., Dede T.

Gazi Üniversitesi Fen Bilimleri Dergisi Part: C Tasarım ve Teknoloji , cilt.8, sa.3, ss.511-528, 2020 (TRDizin) Sürdürülebilir Kalkınma

9. Prediction of Parameters which Affect Beach Nourishment Performance Using MARS, TLBO, and Conventional Regression Techniques

Karasu S., Kankal M., NACAR S., UZLU E., YÜKSEK Ö.

THALASSAS , cilt.36, sa.1, ss.245-260, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

10. Application of Jaya algorithm-trained artificial neural networks for prediction of energy use in the nation of Turkey

UZLU E.

ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY , cilt.14, sa.5, ss.183-200, 2019 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

11. Türkiye için gri kurt optimizasyon algoritması ile yapay sinir ağlarını kullanarak enerji tüketiminin tahmini

Uzlu E.

Gazi Üniversitesi Fen Bilimleri Dergisi Part: C Tasarım ve Teknoloji , cilt.7, sa.2, ss.245-262, 2019 (TRDizin)

12. Predicting temporal rate coefficient of bar volume using hybrid artificial intelligence approaches

KANKAL M., UZLU E., NACAR S., YÜKSEK Ö.

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY , cilt.23, sa.3, ss.596-604, 2018 (SCI-Expanded, Scopus)

13. The estimation of flood quantiles in ungauged sites using teaching-learning based optimization and artificial bee colony algorithms

ANILAN T., UZLU E., KANKAL M., YÜKSEK Ö.

SCIENTIA IRANICA , cilt.25, sa.2, ss.632-645, 2018 (SCI-Expanded, Scopus)

14. Neural network approach with teaching-learning-based optimization for modeling and forecasting long-term electric energy demand in Turkey

Kankal M., UZLU E.

NEURAL COMPUTING & APPLICATIONS , cilt.28, 2017 (SCI-Expanded, Scopus)

20. Estimates of energy consumption in Turkey using neural networks with the teaching-learning-based optimization algorithm

UZLU E., Kankal M., Akpinar A., DEDE T.

ENERGY , cilt.75, ss.295-303, 2014 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

21. Prediction of berm geometry using a set of laboratory tests combined with teaching-learning-based optimization and artificial bee colony algorithms

UZLU E., Komurcu M. I., Kankal M., DEDE T., ÖZTÜRK H. T.

APPLIED OCEAN RESEARCH , cilt.48, ss.103-113, 2014 (SCI-Expanded, Scopus)

22. Assessment of hydropower and multi-dam power projects in Turkey

Kankal M., BAYRAM A., UZLU E., SATILMIŞ U.

RENEWABLE ENERGY , cilt.68, ss.118-133, 2014 (SCI-Expanded, Scopus)

23. Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey

UZLU E., Akpinar A., ÖZTÜRK H. T., NACAR S., Kankal M.

ENERGY , cilt.69, ss.638-647, 2014 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

24. Restructuring of Turkey's electricity market and the share of hydropower energy: The case of the Eastern Black Sea Basin

UZLU E., Akpinar A., Komurcu M. I.

RENEWABLE ENERGY , cilt.36, sa.2, ss.676-688, 2011 (SCI-Expanded, Scopus)

Dr. Öğr. Üyesi ERGUN UZLU

Yayınlar & Eserler

1. The contribution of hydropower in meeting electric energy needs of MINT countries

2. Development of hybrid models to forecast water demand in the city of Ankara

3. Modeling and Forecasting of Water Demand in the City of Istanbul Using Artificial Neural Networks Optimized with Rao Algorithms

4. Determination of Grain Sorting in an Accretion Profile Caused by Cross-Shore Sediment Transport

5. Estimates of hydroelectric energy generation in BRICS-T countries using a new hybrid model

6. Estimates of hydroelectric energy generation in Turkey with Jaya algorithmoptimized artificial neural networks

7. Estimates of greenhouse gas emission in Turkey with grey wolf optimizer algorithm-optimized artificial neural networks

8. Jaya Algoritması ile Optimize Edilmiş Yapay Sinir Ağlarını Kullanarak Türkiye’de Elektrik Enerjisi Tüketiminin Tahmini

9. Prediction of Parameters which Affect Beach Nourishment Performance Using MARS, TLBO, and Conventional Regression Techniques

10. Application of Jaya algorithm-trained artificial neural networks for prediction of energy use in the nation of Turkey

11. Türkiye için gri kurt optimizasyon algoritması ile yapay sinir ağlarını kullanarak enerji tüketiminin tahmini

12. Predicting temporal rate coefficient of bar volume using hybrid artificial intelligence approaches

13. The estimation of flood quantiles in ungauged sites using teaching-learning based optimization and artificial bee colony algorithms

14. Neural network approach with teaching-learning-based optimization for modeling and forecasting long-term electric energy demand in Turkey

15. Importance of hydropower for sustainable energy development in Turkey: Case of Coruh River

16. Status of hydropower and water resources in the Southeastern Anatolia Project (GAP) of Turkey

17. Beach nourishment alternative assessment to constrain cross-shore and longshore sediment transport

18. Modeling stream dissolved oxygen concentration using teaching-learning based optimization algorithm

19. The Status of Transboundary Rivers in Turkey

20. Estimates of energy consumption in Turkey using neural networks with the teaching-learning-based optimization algorithm

21. Prediction of berm geometry using a set of laboratory tests combined with teaching-learning-based optimization and artificial bee colony algorithms

22. Assessment of hydropower and multi-dam power projects in Turkey

23. Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey

24. Restructuring of Turkey's electricity market and the share of hydropower energy: The case of the Eastern Black Sea Basin

Yayın

Yayın (WoS)

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Atıf (Scopus)

H-İndeks (Scopus)

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