Gulgun KAYAKUTLU
Gulgun KAYAKUTLU
Professor of Energy Optimisation in Energy Institute, Istanbul Technical University
Verified email at itu.edu.tr
TitleCited byYear
Using artificial neural network models in stock market index prediction
E Guresen, G Kayakutlu, TU Daim
Expert Systems with Applications 38 (8), 10389-10397, 2011
3502011
Scenario analysis using Bayesian networks: A case study in energy sector
D Cinar, G Kayakutlu
Knowledge-Based Systems 23 (3), 267-276, 2010
622010
Assessing performance factors for a 3PL in a value chain
G Kayakutlu, G Buyukozkan
International Journal of Production Economics 131 (2), 441-452, 2011
552011
Developing Oregon’s renewable energy portfolio using fuzzy goal programming model
TU Daim, G Kayakutlu, K Cowan
Computers & Industrial Engineering 59 (4), 786-793, 2010
532010
Effective supply value chain based on competence success
G Kayakutlu, G Büyüközkan
Supply Chain Management: An International Journal 15 (2), 129-138, 2010
522010
Development of future energy scenarios with intelligent algorithms: case of hydro in Turkey
D Cinar, G Kayakutlu, T Daim
Energy 35 (4), 1724-1729, 2010
412010
Assessment of lean manufacturing effect on business performance using Bayesian Belief Networks
G Büyüközkan, G Kayakutlu, İS Karakadılar
Expert Systems with Applications 42 (19), 6539-6551, 2015
382015
Exploring renewable energy pricing with analytic network process—comparing a developed and a developing economy
I Iskin, T Daim, G Kayakutlu, M Altuntas
Energy Economics 34 (4), 882-891, 2012
282012
Optimisation studies on tri‐generation: a review
AN Ünal, S Ercan, G Kayakutlu
International Journal of Energy Research 39 (10), 1311-1334, 2015
262015
Fuzzy cognitive mapping in factor elimination: A case study for innovative power and risks
A Altay, G Kayakutlu
Procedia Computer Science 3, 1111-1119, 2011
242011
Value stream maps for industrial energy efficiency
C Keskin, U Asan, G Kayakutlu
Assessment and Simulation Tools for Sustainable Energy Systems, 357-379, 2013
222013
Identification of energy policy priorities from existing energy portfolios using hierarchical decision model and goal programming: Case of Germany and France
TU Daim, W Schweinfort, G Kayakutlu, N Third
International Journal of Energy Sector Management 4 (1), 24-43, 2010
152010
Forecasting stock exchange movements using artificial neural network models and hybrid models
E Güreşen, G Kayakutlu
International Conference on Intelligent Information Processing, 129-137, 2008
142008
Assessing knowledge-based resources in a utility company: Identify and prioritise the balancing factors
G Kayakutlu, G Büyüközkan
Energy 33 (7), 1027-1037, 2008
142008
Operational optimization in simple tri-generation systems
AN Ünal, İ Ersöz, G Kayakutlu
Applied Thermal Engineering 107, 175-183, 2016
132016
Definition of artificial neural networks with comparison to other networks
E Guresen, G Kayakutlu
Procedia Computer Science 3, 426-433, 2011
122011
Patent value analysis using support vector machines
S Ercan, G Kayakutlu
Soft computing 18 (2), 313-328, 2014
112014
Clean energy investment scenarios using the Bayesian network
T Daim, G Kayakutlu, Y Suharto, Y Bayram
International Journal of Sustainable Energy 32 (4), 1-12, 2014
112014
Technology Assessment of Two Energy Portfolios Using with a Hierarchical Decision Model
D Lim, L Carter, N Third, W Schweinfort, P Tibbot
102009
A combined seasonal ARIMA and ANN model for improved results in electricity spot price forecasting: Case study in Turkey
A Ozozen, G Kayakutlu, M Ketterer, O Kayalica
2016 Portland International Conference on Management of Engineering and …, 2016
92016
The system can't perform the operation now. Try again later.
Articles 1–20