Research of Generated Power Forecasting Model Based on the Fusion of Elman NN and ACOA for Photovoltaic System

Xian Jia Zhao; Ling Yun Wen; Han Yu Cai

doi:10.4028/www.scientific.net/AMM.392.628

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 392Research of Generated Power Forecasting Model...

Research of Generated Power Forecasting Model Based on the Fusion of Elman NN and ACOA for Photovoltaic System

Abstract:

A new generated power forecasting model based on the fusion of Elman neural networks (Elman NN) and ant colony optimization algorithm (ACOA) for photovoltaic system are presented in this paper. Elman NN owns stronger dynamic performance and calculation ability. And it can characterize complicated dynamics behavior. ACOA was used to optimize to improve the generalization performance of Elman NN model. The testing results show that new approaches can improve effectively the precision of generated power forecasting.

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Periodical:

Applied Mechanics and Materials (Volume 392)

Pages:

628-631

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.392.628

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Online since:

September 2013

Authors:

Xian Jia Zhao, Ling Yun Wen, Han Yu Cai

Keywords:

Ant Colony Optimization Algorithm (ACOA), Elman Neural Network (Elman NN), Generated Power Forecasting Model for Photovoltaic System

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References

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