A hybrid model for wind power prediction composed of ANN and imperialist competitive algorithm (ICA)
| Autor: | Amin Shokri Gazafroudi, K. Afshar, Mostafa Yousefi Ramandi, Nooshin Bigdeli |
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| Rok vydání: | 2014 |
| Předmět: |
Engineering
Wind power Wind power generation Artificial neural network business.industry Astrophysics::High Energy Astrophysical Phenomena Imperialist competitive algorithm Wind speed Electric power system Control theory ComputerApplications_MISCELLANEOUS Physics::Space Physics Astrophysics::Solar and Stellar Astrophysics business Hybrid model Physics::Atmospheric and Oceanic Physics Simulation |
| Zdroj: | 2014 22nd Iranian Conference on Electrical Engineering (ICEE). |
| Popis: | Rapid growth of wind power generation in addition to its high penetration in electrical power systems has brought wind power prediction into play. Wind power is a complex signal for modeling and forecasting. In this paper, wind power prediction model based on neural network and imperialist competitive algorithm (ICA) is presented to forecast wind power generation of wind farm of Alberta. Finally, the results of the proposed model and the neural networks trained by PSO and GA are compared with each other. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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