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Wind Power Short-Term Forecasting model Based on the Hierarchical Output Power and Poisson Re-Sampling Random Forest Algorithm
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Wind Power Short-Term Forecasting model Based on the Hierarchical Output Power and Poisson Re-Sampling Random Forest Algorithm
Reg. Date
2023/06/08 03:05
Keywords
Time Series Analysis
Energy
Attached File
Wind_Power_Short-Term_Forecasting_Model_Based_on_the_Hierarchical_Output_Power_and_Poisson_Re-Sampling_Random_Forest_Algorithm.pdf
[Presentation] Wind_power_Random_Forest_Algorithm_presentation_jhchoi.pdf
Author
J. Hao, et al.
Journal/Conference
IEEE Access
Reviewer
Summary
전력 공급 및 수요의 균형을 위해 풍력의
실시간 특성
을 고려한 빅데이터 기반의
단기 풍력 모델
을 제안하였음.→ Chi-Square를 적용해 데이터 이산화, Poisson resampling을 통해 RF 알고리즘 개선)
Year
2020
