Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …

Modeling and forecasting of the primary energy consumption (PEC) play a vital role for
policy makers and related organizations in developing countries such as Turkey. In this …

This paper proposes a new hybrid method (HAP) for estimating energy demand of Turkey
using Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). Proposed …

Artificial Neural Networks are proposed to model and predict electricity consumption of
Turkey. Multi layer perceptron with backpropagation training algorithm is used as the neural …

This paper attempts to shed light on the determinants of energy demand in Turkey. Energy
demand model is first proposed using the ant colony optimization (ACO) approach. It is multi …

Energy consumption is getting rising gradually around the planet. Therefore, the importance
of energy management has increased for all nations worldwide, and long-term energy …

This study proposes a new method for estimating transport energy demand using a harmony
search (HS) approach. HArmony Search Transport Energy Demand Estimation (HASTEDE) …

This paper proposes two new models based on artificial bee colony (ABC) and particle
swarm optimization (PSO) techniques to estimate electricity energy demand in Turkey. ABC …

To improve estimation efficiency for future projections, the present study has proposed a
hybrid algorithm, Particle Swarm Optimization and Genetic Algorithm optimal Energy …

Due to the increasing energy consumption, energy has become a constant problem in the
world. Rapidly increasing population, urbanization and economic activities increase the …