Akademik Veri Yönetim Sistemi
JOURNAL OF TURKISH OPERATIONS MANAGEMENT, ss.50-56, 2018 (Hakemli Dergi)
Energy is the most basic input in the production process for the realization of social and economic development. The unstockable nature of electricity necessitates designing a system that can always meet the demand. This is the most important step of energy system planning. Medium-term prediction is important, especially for Energy Systems management, in allocating production capacity, market research and network maintenance planning. Adaptive Neuro Fuzzy Inference System (ANFIS) is used for this study with the compilation of the obtained three-month data for twenty years. ANFIS has obtained results with high accuracy versus regression analysis even for crisis periods because of its adaptive architecture covering the whole dynamic system structure. Gross electricity demand could be predicted with % 96.74 accuracy by ANFIS as compared previous studies