Ant colony optimization approach to estimate energy demand of Turkey

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Natural gas demand in Turkey (2009, background): “[41], Sozen and Arcaklioğlu [42] Ant colony optimization (ACO) Toksari [43] Autoregressive integrated moving average (ARIMA) Ediger and Akar [44], Erdogdu [1]”
Energy consumption modeling using artificial neural networks: The case of the world’s highest consumers (2016, methodology): “The independent variables used for ANNmodeling are similar to some of the previous energy modeling studies (Aydin, 2014b; Ceylan and Ozturk, 2004; Toksari, 2007; Kankal et al., 2011).”
Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines (2015, methodology): “By using ant colony optimization algorithm (ACO); Toksari [19] has predicted the Turkey’s long-term demand under the effect of selected economic and demographic variables.”
Transport energy modeling with meta-heuristic harmony search algorithm, an application to Turkey (2008, background): “Toksari (2007) developed an ant colony energy demand estimation model for Turkey.”