| Year ahead demand forecast of city natural gas using seasonal time series methods M Akpinar, N Yumusak Energies 9 (9), 727, 2016 | 99 | 2016 |
| Forecasting household natural gas consumption with ARIMA model: A case study of removing cycle M Akpinar, N Yumusak 2013 7th international conference on application of information and …, 2013 | 55 | 2013 |
| Day-ahead natural gas demand forecasting using optimized ABC-based neural network with sliding window technique: The case study of regional basis in Turkey M Akpinar, MF Adak, N Yumusak Energies 10 (6), 781, 2017 | 44 | 2017 |
| Bağlam temelli yaklaşımla yapılan fizik eğitiminde kavramsal değişim metinlerinin öğrenci erişisine etkisi M Akpinar Eğitim Bilimleri Enstitüsü, 2012 | 43 | 2012 |
| Naive forecasting of household natural gas consumption with sliding window approach M Akpinar, N Yumuşak Turkish Journal of Electrical Engineering and Computer Sciences 25 (1), 30-45, 2017 | 34 | 2017 |
| Estimating household natural gas consumption with multiple regression: Effect of cycle M Akpinar, N Yumusak 2013 International Conference on Electronics, Computer and Computation …, 2013 | 28 | 2013 |
| Day-ahead natural gas forecasting using nonseasonal exponential smoothing methods M Akpinar, N Yumusak 2017 IEEE International Conference on Environment and Electrical Engineering …, 2017 | 26 | 2017 |
| Forecasting natural gas consumption with hybrid neural networks—Artificial bee colony M Akpinar, MF Adak, N Yumusak 2016 2nd International Conference on Intelligent Energy and Power Systems …, 2016 | 23 | 2016 |
| Daily basis mid-term demand forecast of city natural gas using univariate statistical techniques M Akpinar, N Yumusak GAZI UNIV, FAC ENGINEERING ARCHITECTURE, 2020 | 18* | 2020 |
| Electrical load forecasting using genetic algorithm based holt-winters exponential smoothing method Y Özger, M Akpinar, Z Musayev, M Yaz Sakarya University Journal of Computer and Information Sciences 3 (2), 108-123, 2019 | 17* | 2019 |
| Determination of the gas density in binary gas mixtures using multivariate data analysis MF Adak, M Akpinar, N Yumusak IEEE Sensors Journal 17 (11), 3288-3297, 2017 | 16 | 2017 |
| Improving performance and data transmission security in VANETs SY Zhang, M Lagutkina, K Ovaz Akpinar, M Akpinar Computer Communications 180, 126-133, 2021 | 14 | 2021 |
| Time series forecasting using artificial bee colony based neural networks M Akpinar, MF Adak, N Yumusak 2017 International Conference on Computer Science and Engineering (UBMK …, 2017 | 11 | 2017 |
| SVM-based anomaly detection in remote working: Intelligent software SmartRadar M Akpinar, MF Adak, G Guvenc Applied Soft Computing 109, 107457, 2021 | 10 | 2021 |
| Application of Genetic Algorithm for Optimization of Heat-Transfer Parameters M AKPINAR Sakarya University Journal of Science 23 (6), 1123-1130, 2019 | 10 | 2019 |
| A hybrid artificial bee colony algorithm using multiple linear regression on time series datasets MF Adak, M Akpinar 2018 3rd International Conference on Smart and Sustainable Technologies …, 2018 | 7 | 2018 |
| Removing Seasonal Effect on City Based Daily Electricity Load Forecasting with Linear Regression S Kareem, M Akpinar 2021 International Symposium on Networks, Computers and Communications …, 2021 | 6 | 2021 |
| Demand Forecasting Using Decomposition and Regressors of Natural Gas Delivered to Consumers in the US EM Yildiz, M Akpinar, N Yumusak 2018 2nd International Symposium on Multidisciplinary Studies and Innovative …, 2018 | 4 | 2018 |
| İstatistik ve yapay zeka teknikleri ile enerji tüketiminin tahmini: Sakarya doğal gaz tüketiminin uygulaması M Akpınar Sakarya Üniversitesi, 2017 | 4 | 2017 |
| Determination of Insulation Parameters with Optimization Algorithms O Gunal, M Akpinar, KO Akpinar 2022 International Conference on Decision Aid Sciences and Applications …, 2022 | 3 | 2022 |
Nejat YumuşakSakarya ÜniversitesiVerified email at sakarya.edu.tr
