Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation

Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation

Accurate prediction of the generation capacity of photovoltaic systems is fundamental to ensuring the stability of the grid and to performing scheduling arrangements correctly. In view of the temporal defect and the local minimum problem of back-propagation neural network, a forecasting method of po...

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Bibliographic Details
Main Authors:	Chi Hua, Erxi Zhu, Liang Kuang, Dechang Pi
Format:	Article
Language:	English
Published:	Wiley 2019-10-01
Series:	International Journal of Distributed Sensor Networks
Online Access:	https://doi.org/10.1177/1550147719883134

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