Energy consumption modeling using artificial neural networks: The case of the world's highest consumers

• Published in: Energy sources. Part B, Economics, planning and policy Vol. 11; no. 3; pp. 212 - 219
• Main Authors: Aydin, Gokhan, Jang, Hyongdoo, Topal, Erkan
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 01.01.2016
• Subjects: Artificial neural networks; Economics; Energy consumption; Energy policy; Errors; highest energy consumers; Learning theory; Mathematical models; modeling; Neural networks

The world's highest energy consumer (HC) countries currently constitute around 62% of the world energy consumption. Therefore, it is highly important to model their energy consumption to obtain an estimated profile of future world energy consumption. In this study the HCs' energy consumpti...