Hybrid solar forecasting method uses satellite imaging and ground telemetry as inputs to ANNs

著录项

• 来源
  《Solar Energy》 |2013年第6期|176-188|共13页
• 作者

  Ricardo Marquez; Hugo T.C. Pedro; Carlos F.M. Coimbra;

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• 作者单位

  Mechanical Engineering and Applied Mechanics Program, School of Engineering, University of California Merced, Merced, CA 95343, USA;

  Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering, and Center of Excellence in Renewable Energy Integration and Center of Energy Research, University of California San Diego La Jolla, CA 92093, USA;

  Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering, and Center of Excellence in Renewable Energy Integration and Center of Energy Research, University of California San Diego La Jolla, CA 92093, USA;

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• 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Solar forecasting; Hybrid methods; Stochastic learning; Remote sensing; Artificial neural networks;

  机译：太阳预报;混合方法;随机学习;遥感;人工神经网络;