Weekly Flow Prediction of Ergene River Using an Artificial Neural Network Based Solution Approach

Ayvaz, Mustafa Tamer
Tezel, Ulaş
Kentel Erdoğan, Elçin
Göktaş, Recep Kaya
13th International Conference on Hydroinformatics (HIC 2018), (1 - 06 Haziran 2018)


Weekly flow prediction of Ergene river using an artificial neural network based solution approach
Ayvaz, Mustafa Tamer; Tezel, Ulaş; Kentel Erdoğan, Elçin; Göktaş, Recep Kaya (2018-07-01)
Hourly-scale coastal sea level modeling in a changing climate using long short-term memory neural network
Ishida, Kei; Tsujimoto, Gozo; Ercan, Ali; Tu, Tongbi; Kiyama, Masato; Amagasaki, Motoki (2020-06-01)
In this study, a coastal sea level estimation model was developed at an hourly temporal scale using the long short-termmemory (LSTM) network, which is a type of recurrent neural networks. The model incorporates the effects of various phenomena on the coastal sea level such as the gravitational attractions of the sun and the moon, seasonality, storm surges, and changing climate. The relative positions of the moon and the sun from the target location at each hour were utilized to reflect the gravitational att...
Daily natural gas consumption prediction by MARS and CMARS models for residential users in Ankara
Yılmaz, Yavuz; Weber, Gerhard Wilhelm; Department of Scientific Computing (2015)
Energy efficient construction and operation of modern energy transmission and distribution systems is one of the major challenging problems in engineering area. Prior to every kind of natural gas related study, regardless of their financial or engineering features, demand forecast figures should be seen. Decision making of natural gas investment planning and operation in a city, region or country are highly important engineering problems that have very important economic effects. Determination of the total ...
Yazıcıgil, Hasan; TOEBES, GERRIT H (1983-01-01)
An optimization model that may be used by reservoir system operators to improve daily, real‐time operations and to evolve better long‐term operating guidelines is developed and tested. The four multipurpose reservoirs in the Green River Basin (GRB) of Kentucky are used as a case study. The GRB Operation Optimization Model (GRBOOM) is a linear program constructed to imitate the decision‐ making process that results in actual reservoir release decisions. The model is easily modifiable and very flexible, which...
Periodic micro hole texturing with metal assisted chemical etching for solar cell applications: dependence of etch rate on orientation
Altınoluk, Hayriye Serra; Çiftpınar, Emine Hande; Demircioğlu, Olgu; Turan, Raşit (2017-01-01)
Surface texturing is an indispensable process for solar cell fabrication. The interaction of the surface with the incoming sunlight is controlled by texturing in such a way that the absorption is maximized through multiple interactions. Wet and dry etching techniques have been used to create textured surfaces on solar cells. Other than standard alkaline texturing used by the industry, metal assisted etching (MAE) appears to be a promising texturing technique with greater potential application for multi-crys...
Citation Formats
M. T. Ayvaz, U. Tezel, E. Kentel Erdoğan, and R. K. Göktaş, “Weekly Flow Prediction of Ergene River Using an Artificial Neural Network Based Solution Approach,” 2018, vol. 3, p. 155, Accessed: 00, 2021. [Online]. Available: https://easychair.org/publications/volume/HIC_2018.