Follow
Ergun Uzlu
Ergun Uzlu
Verified email at ktu.edu.tr
Title
Cited by
Cited by
Year
Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm
E Uzlu, M Kankal, A Akpınar, T Dede
Energy 75, 295-303, 2014
1032014
Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey
E Uzlu, A Akpınar, HT Özturk, S Nacar, M Kankal
Energy 69, 638-647, 2014
902014
Neural network approach with teaching–learning-based optimization for modeling and forecasting long-term electric energy demand in Turkey
M Kankal, E Uzlu
Neural Computing and Applications 28 (1), 737-747, 2017
662017
Modeling stream dissolved oxygen concentration using teaching–learning based optimization algorithm
A Bayram, E Uzlu, M Kankal, T Dede
Environmental Earth Sciences 73 (10), 6565-6576, 2015
572015
Restructuring of Turkey’s electricity market and the share of hydropower energy: The case of the Eastern Black Sea Basin
E Uzlu, A Akpınar, Mİ Kömürcü
Renewable Energy 36 (2), 676-688, 2011
422011
Prediction of berm geometry using a set of laboratory tests combined with teaching–learning-based optimization and artificial bee colony algorithms
E Uzlu, Mİ Kömürcü, M Kankal, T Dede, HT Öztürk
Applied Ocean Research 48, 103-113, 2014
322014
Assessment of hydropower and multi-dam power projects in Turkey
M Kankal, A Bayram, E Uzlu, U Satilmiş
Renewable energy 68, 118-133, 2014
192014
Doğu Karadeniz Havzası’ndaki küçük hidroelektrik santrallerin durumu, 7
E Uzlu, MH Filiz, Mİ Kömürcü, A Akpınar, O Yavuz
Ulusal Temiz Enerji Sempozyumu UTES, 459-466, 2008
152008
Status of hydropower and water resources in the Southeastern Anatolia Project (GAP) of Turkey
M Kankal, S Nacar, E Uzlu
Energy Reports 2, 123-128, 2016
102016
Application of Jaya algorithm-trained artificial neural networks for prediction of energy use in the nation of Turkey
E Uzlu
Energy Sources, Part B: Economics, Planning, and Policy 14 (5), 183-200, 2019
82019
Predicting temporal rate coefficient of bar volume using hybrid artificial intelligence approaches
M Kankal, E Uzlu, S Nacar, Ö Yüksek
Journal of marine science and technology 23 (3), 596-604, 2018
82018
Beach nourishment alternative assessment to constrain cross-shore and longshore sediment transport
S Karasu, PA Work, E Uzlu, M Kankal, Ö Yüksek
Applied Ocean Research 59, 459-471, 2016
82016
The status of transboundary rivers in Turkey
M Kankal, E Uzlu
Water resources 41 (6), 649-665, 2014
82014
Estimates of greenhouse gas emission in Turkey with grey wolf optimizer algorithm-optimized artificial neural networks
E Uzlu
Neural Computing and Applications 33 (20), 13567-13585, 2021
62021
Türkiye için gri kurt optimizasyon algoritması ile yapay sinir ağlarını kullanarak enerji tüketiminin tahmini
U Ergun
Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 7 (2 …, 2019
42019
The estimation of flood quantiles in ungauged sites using teaching-learning based optimization and artificial bee colony algorithms
T Anılan, E Uzlu, M Kankal, O Yuksek
Scientia Iranica 25 (2), 632-645, 2018
32018
Importance of hydropower for sustainable energy development in Turkey: Case of Coruh River
M Kankal, S Nacar, E Uzlu
Energy & Environment 27 (8), 905-918, 2016
22016
Kıyıya dik katı madde hareketi sonucu oluşan yığılma profilinin fiziksel modelle incelenmesi
E Uzlu
Karadeniz Teknik Üniversitesi/Fen Bilimleri Enstitüsü, 2016
22016
Prediction of Parameters which Affect Beach Nourishment Performance Using MARS, TLBO, and Conventional Regression Techniques
S Karasu, M Kankal, S Nacar, E Uzlu, Ö Yüksek
Thalassas: An International Journal of Marine Sciences 36 (1), 245-260, 2020
12020
Estimating Electric Energy Consumption in Turkey Using Artificial Neural Networks Optimized with Jaya Algorithm
U Ergun, D Tayfun
1
The system can't perform the operation now. Try again later.
Articles 1–20