JAUE2017-081: Research on the Method of Data Mining and Analysis for The Operation Log of Photovoltaic Power Station

Authors

  • Fanyue Qian Author
  • Yongwen Yang Author
  • Weijun Gao Author

DOI:

https://doi.org/10.69457/aiue.20170081

Keywords:

data mining, fitting model, orthogonal experimental design, intuitive analysis method, regression analysis method

Abstract

Operation log of photovoltaic power station is an important data source for optimizing station construction 
and improving operation efficiency, but when analyzing the operating log, due to incomplete data recording 
and some unexpected situation of object environment, it will make the data deflection or even deficiency. Then, 
the data need to be tapped for mining. In this paper, we will use mathematical methods to mine the data base 
on the annual operation log in 2014 by a photovoltaic power station in Qinghai Province, and we will use the 
processed data to analyze the relevance between object environment and generating capacity, object 
environment and generating efficiency. It will provide construction and operation reference for local 
photovoltaic power station, and sort out a simple and effective data mining and analysis method for the 
operation log of photovoltaic power station.

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Published

2025-05-22

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