KEPCO Journal on Electric Power and Energy

Korea Electric Power Corporation (한국전력공사)
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Analysis on Factors Influencing on Wind Power Generation Using LSTM

LSTM을 활용한 풍력발전예측에 영향을 미치는 요인분석

  • Received : 2020.04.30
  • Accepted : 2020.08.07
  • Published : 2020.12.30
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Abstract

Accurate forecasting of wind power is important for grid operation. Wind power has intermittent and nonlinear characteristics, which increases the uncertainty in wind power generation. In order to accurately predict wind power generation with high uncertainty, it is necessary to analyze the factors affecting wind power generation. In this paper, 6 factors out of 11 are selected for more accurate wind power generation forecast. These are wind speed, sine value of wind direction, cosine value of wind direction, local pressure, ground temperature, and history data of wind power generated.

Keywords

Acknowledgement

This research was supported by Korea Electric Power Corporation under Grant R17XA05-23.

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