Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines F Kaytez, MC Taplamacioglu, E Cam, F Hardalac International Journal of Electrical Power & Energy Systems 67, 431-438, 2015 | 578 | 2015 |
Fuzzy logic controller in interconnected electrical power systems for load-frequency control I Kocaarslan, E Çam International Journal of Electrical Power & Energy Systems 27 (8), 542-549, 2005 | 286 | 2005 |
Load frequency control in two area power systems using fuzzy logic controller E Çam, I Kocaarslan Energy conversion and Management 46 (2), 233-243, 2005 | 267 | 2005 |
Application of fuzzy logic for load frequency control of hydroelectrical power plants E Çam Energy conversion and management 48 (4), 1281-1288, 2007 | 166 | 2007 |
A fuzzy gain scheduling PI controller application for an interconnected electrical power system E Çam, I Kocaarslan Electric Power Systems Research 73 (3), 267-274, 2005 | 121 | 2005 |
Optimal site selection for a solar power plant in the Central Anatolian Region of Turkey OP Akkas, MY Erten, E Cam, N Inanc International Journal of Photoenergy 2017 (1), 7452715, 2017 | 93 | 2017 |
A new fuzzy logic proportional controller approach applied to individual pitch angle for wind turbine load mitigation Z Civelek, M Lüy, E Çam, H Mamur Renewable Energy 111, 708-717, 2017 | 90 | 2017 |
Control of pitch angle of wind turbine by fuzzy PID controller Z Civelek, M Lüy, E Çam, N Barışçı Intelligent Automation & Soft Computing 22 (3), 463-471, 2016 | 85 | 2016 |
Proportional–integral–derivative parameter optimisation of blade pitch controller in wind turbines by a new intelligent genetic algorithm Z Civelek, E Çam, M Lüy, H Mamur IET Renewable Power Generation 10 (8), 1220-1228, 2016 | 84 | 2016 |
An analysis of cracked beam structure using impact echo method E Çam, S Orhan, M Lüy Ndt & E International 38 (5), 368-373, 2005 | 79 | 2005 |
A new hybrid algorithm with genetic-teaching learning optimization (G-TLBO) technique for optimizing of power flow in wind-thermal power systems M Güçyetmez, E Çam electrical engineering 98, 145-157, 2016 | 69 | 2016 |
A classification mechanism for determining average wind speed and power in several regions of Turkey using artificial neural networks E Çam, E Arcaklıoğlu, A Çavuşoğlu, B Akbıyık Renewable Energy 30 (2), 227-239, 2005 | 65 | 2005 |
A fuzzy logic controller application for thermal power plants I Kocaarslan, E Çam, H Tiryaki Energy conversion and management 47 (4), 442-458, 2006 | 64 | 2006 |
Use of the genetic algorithm-based fuzzy logic controller for load-frequency control in a two area interconnected power system E Cam, G Gorel, H Mamur Applied Sciences 7 (3), 308, 2017 | 58 | 2017 |
Adaptive neuro-fuzzy inference systems (ANFIS) application to investigate potential use of natural ventilation in new building designs in Turkey T Ayata, E Çam, O Yıldız Energy Conversion and Management 48 (5), 1472-1479, 2007 | 48 | 2007 |
Experimental modelling and simulation with adaptive control of power plant I Kocaarslan, E Cam Energy Conversion and Management 48 (3), 787-796, 2007 | 42 | 2007 |
İlköğretim öğretmenlerinin teknolojik pedagojik alan bilgisi (TPAB) düzeylerinin yaşam boyu öğrenme, özyeterlik düzeyleri ve hizmet içi eğitim gereksinimleri açısından … E Çam Amasya Üniversitesi, 2017 | 39 | 2017 |
An adaptive control application in a large thermal combined power plant İ Kocaarslan, E Çam Energy conversion and Management 48 (1), 174-183, 2007 | 38 | 2007 |
Particle swarm optimization based load frequency control in a single area power system H Gözde, MC Taplamacıoğlu, I Kocaarslan, E Çam University Of Pitesti–Electronics And Computers Science, Scientific Bulletin …, 2008 | 30 | 2008 |
Optimal operational scheduling of a virtual power plant participating in day‐ahead market with consideration of emission and battery degradation cost ÖP Akkaş, E Çam International Transactions on Electrical Energy Systems 30 (7), e12418, 2020 | 27 | 2020 |