Comparing Energy Demand Estimation Using Artificial Algae Algorithm: The Case of Turkey

Abstract

Energy demand estimation is an important issue in terms of the economy and resources of a country. In this study, an Artificial Algae Algorithm (AAA) was used to estimate Turkey’s long-term energy demand. The AAA is a fast, powerful and effective evolutionary optimization technique used to solve continuous optimization problems. Two different equations (linear and exponential) were used for the energy demand estimation by considering the relationship between the increase in economic indicators and the increase in energy consumption in Turkey. Turkey’s long-term energy demand was estimated from 2006 to 2025 with the AAA method by using gross national product (GNP) and information about imports, exports and population. The AAA method was compared to other methods in published literature to show its success when applied to the energy demand problem. It was found that the results obtained by the proposed method were more robust and successful than those of the other methods.