Deep Learning for Wave Energy Converter Modeling Using Long Short-Term Memory

Deep Learning for Wave Energy Converter Modeling Using Long Short-Term Memory

Accurate forecasts of ocean waves energy can not only reduce costs for investment, but it is also essential for the management and operation of electrical power. This paper presents an innovative approach based on long short-term memory (LSTM) to predict the power generation of an economical wave en...

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Bibliographic Details
Main Authors: Seyed Milad Mousavi, Majid Ghasemi, Mahsa Dehghan Manshadi, Amir Mosavi
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Mathematics
Subjects:
Searaser
renewable energy
machine learning
long short term memory
deep neural network
deep learning
Online Access:https://www.mdpi.com/2227-7390/9/8/871

Internet

https://www.mdpi.com/2227-7390/9/8/871

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