Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

Successful development of a marine wave energy converter (WEC) relies strongly on the development of the power generation device, which needs to be efficient and cost-effective. An innovative multi-input approach based on the Convolutional Neural Network (CNN) is investigated to predict the power ge...

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Bibliographic Details
Main Authors:	Chenhua Ni, Xiandong Ma
Format:	Article
Language:	English
Published:	MDPI AG 2018-08-01
Series:	Energies
Subjects:	wave energy converter power prediction ocean energy artificial neural network deep learning convolutional neural network
Online Access:	http://www.mdpi.com/1996-1073/11/8/2097

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