Time series prediction for output of multi-region solar power plants

Applied Energy(2020)

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摘要
•Long short-term memory is used to predict the multi-region solar power output.•Particle swarm optimization is used to optimize the long short-term memory model.•Sensitivity analysis is done to verify the stability of the method.•Different long short-term memory structures are compared.•A real case is studied to illustrate the effectiveness of the proposed method.
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关键词
Solar power output prediction,Time series,Multi-region,Long short-term memory,Particle swarm optimization algorithm,Sensitivity analysis
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