Prediction indicators for unit 13 of Longyuan Wind Farm.

Prediction indicators for unit 13 of Longyuan Wind Farm.

<p>Prediction indicators for unit 13 of Longyuan Wind Farm.</p>

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Библиографические подробности
Главный автор:	Wenjuan Zhou (115285) (author)
Другие авторы:	Feng Huang (62988) (author), Bing Wei (2588902) (author), Liang Li (46069) (author), Shixi Dai (22138931) (author), Xin Xie (311744) (author), Youyuan Peng (20862463) (author), Hong You (251402) (author)
Опубликовано:	2025
Предметы:	Biotechnology Astronomical and Space Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified reduce computation time maintaining grid stability experimental results demonstrate connected neural network computational efficiency deteriorate complex working conditions characterizes equipment performance blade deflection angle hidden coupling model delivering higher accuracy wind turbine operation dynamic synergistic coefficient higher prediction accuracy enhance prediction accuracy traditional informer model informer model based wind turbine data screen key multi power prediction experiments wind power prediction prediction accuracy informer model wind power wind speed prediction framework accurate prediction maintenance data informer ). dynamic correlations power output xlink "> study proposes source features new design lasso algorithm insufficient exploration health matrix health assessment assessment yields
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