A novel hybrid approach based on Particle Swarm Optimization and Ant Colony Algorithm to forecast energy demand of Turkey

Yerel katalogda bu makaleye atıf yapan 96 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

1. 2016 Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio economic indicators and climatic conditions Case of TurkeyAtıf 181 · OpenAlex
2. 2022 Forecasting of future greenhouse gas emissions trajectory for India using energy and economic indexes with various metaheuristic algorithmsAtıf 164 · OpenAlex
3. 2022 Forecasting of future greenhouse gas emission trajectory for India using energy and economic indexes with various metaheuristic algorithmsAtıf 164 · OpenAlex
4. 2022 Forecasting of future greenhouse gas emission trajectory for India using energy and economic indexes with various metaheuristic algorithmsAtıf 164 · OpenAlex
5. 2022 Forecasting of future greenhouse gas emission trajectory for India using energy and economic indexes with various metaheuristic algorithmsAtıf 164 · OpenAlex
6. 2013 A recombination based hybridization of particle swarm optimization and artificial bee colony algorithm for continuous optimization problemsAtıf 159 · OpenAlex
7. 2013 A recombination based hybridization of particle swarm optimization and artificial bee colony algorithm for continuous optimization problemsAtıf 159 · OpenAlex
8. 2014 Modeling of energy consumption based on economic and demographic factors The case of Turkey with projectionsAtıf 126 · OpenAlex
9. 2014 Estimates of energy consumption in Turkey using neural networks with the teaching learning based optimization algorithmAtıf 116 · OpenAlex
10. 2014 Estimates of energy consumption in Turkey using neural networks with the teaching learning based optimization algorithmAtıf 116 · OpenAlex