Data‐driven models for short‐term ocean wave power forecasting
Abstract In order to integrate wave farms into the grid, the power from wave energy converters (WEC) must be forecasted. This study presents a novel data‐driven modelling (DDM) method to predict very short‐term (15 min–4 h) and short‐term (0–72 h) power generation from a WEC. The model is tested usi...
Main Author: | Chenhua Ni |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-07-01
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Series: | IET Renewable Power Generation |
Online Access: | https://doi.org/10.1049/rpg2.12157 |
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