Forecasting Energy Demand in Iran Using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) Methods

Author:

Assareh E.,Behrang M. A.,Ghanbarzdeh A.

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference40 articles.

1. Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran

2. The Integration of Artificial Neural Networks and Particle Swarm Optimization to Forecast World Green Energy Consumption

3. A simulated-based neural network algorithm for forecasting electrical energy consumption in Iran

4. Back, T. Optimal mutation rates in genetic search. Proceedings of 5th Int. Conference on Genetic Algorithm. pp.2–9. San Mateo, CA: Morgan Kaufmann.

5. Baker, J. E. Adaptive selection methods for genetic algorithms. Proceedings of Int. Conference on Genetic Algorithms and Their Applications. pp.101–111. Hillsdale, NJ: Lawrence Erlbaum Associates.

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