Photovoltaic Short-Term Output Power Forecast Model Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise–Kernel Principal Component Analysis–Long Short-Term Memory

To solve the problem of photovoltaic power prediction in areas with large climate changes, this article proposes a hybrid Long Short-Term Memory method to improve the prediction accuracy and noise resistance. It combines the improved complete ensemble empirical mode decomposition with adaptive noise...

書誌詳細
出版年:	Energies
主要な著者:	Lan Cao, Haoyu Yang, Chenggong Zhou, Shaochi Wang, Yingang Shen, Binxia Yuan
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-12-01
主題:	photovoltaic output power prediction short-term forecasting ICEEMDAN KPCA LSTM
オンライン･アクセス:	https://www.mdpi.com/1996-1073/17/24/6365

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