Author:
Arslan Yusuf,Dilbaz Aybike Şimşek,Ertekin Seyda,Karagoz Pinar,Birturk Aysenur,Eren Sinan,Küçük Dilek
Publisher
Springer International Publishing
Reference16 articles.
1. Ahmia, O., Farah, N.: Multi-model approach for electrical load forecasting. In: 2015 SAI Intelligent Systems Conference (IntelliSys), pp. 87–92. IEEE (2015)
2. Campillo, J., Wallin, F., Torstensson, D., Vassileva, I.: Energy demand model design for forecasting electricity consumption and simulating demand response scenarios in Sweden. In: 2012 4th International Conference in Applied Energy, Suzhou, China, 5–8 July 2012
3. Çevik, H.H., Çunkaş, M.: A comparative study of artificial neural network and ANFIS for short term load forecasting. In: 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), pp. 29–34. IEEE (2014)
4. Eren, S., et al.: A ubiquitous web-based dispatcher information system for effective monitoring and analysis of the electricity transmission grid. Int. J. Electr. Power Energy Syst. 86, 93–103 (2017)
5. Karimtabar, N., Pasban, S., Alipour, S.: Analysis and predicting electricity energy consumption using data mining techniques-a case study IR Iran-Mazandaran province. In: 2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA), pp. 1–6. IEEE (2015)
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