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  • 标题:Literature Survey on Solar Power Prediction System
  • 本地全文:下载
  • 作者:Saranya R ; Suhara Salim
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:2
  • 页码:1719
  • DOI:10.15680/IJIRCCE.2017.0502089
  • 出版社:S&S Publications
  • 摘要:Solar power, without a doubt, is the cleanest energy in the world and is being used as a renewableenergy since years ago. Residential that uses solar power as their alternative power supply will bring benefits to them.The main objective of this project is to develop an automatic solar tracking system which will keep the solar panelsaligned with the Sun in order to maximize in harvesting solar power. The system tracks the maximum intensity of light.When the intensity of light is decreasing, this system automatically changes its direction to get maximum intensity oflight. This application calculates and generates the sun's position according to their geographic location (GPScoordinates).Finally, the project is able to track and follow the Sun intensity in order to get maximum power. The mainmodules include location fetcher, climate fetcher and prediction logic
  • 关键词:solar tracking; PV; Machine Learning; GPS.
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