Cetinkaya, Nurettin2020-03-262020-03-262016978-1-5090-4093-3https://hdl.handle.net/20.500.12395/3318612th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) -- AUG 13-15, 2016 -- Changsha, PEOPLES R CHINAThis paper presents different methods to solve short-term load forecasting problem in smart grids. Smart grid, an electrical network can be monitored and managed. Effective and efficient use of energy and a low-cost planning-oriented management are required in smart grids. One of the most important helpers for power management is to forecast load correctly. Load forecasting, demand response and energy prices affect each other. At the same time the load forecasting has an important role for safely operating conditions and power systems control. In this study, the effects of load forecasting in a real network operating conditions are examined. Also a time series mathematical model and heuristic models have been developed for load forecasting. Performances of the forecasting of the models developed were compared with the actual values.eninfo:eu-repo/semantics/closedAccessshort-term load forecastingsmart grid managementtime-series mathematical modelsConference Object11031107N/AWOS:000386658300192N/A