ID:
publications-5246
Type:
Conference paper
Year:
2022
Authors:
Liu Y.; Liu X.; Guo J.; Lou R.; Lv Z.
Title:
Digital Twins of Wave Energy Generation Based on Artificial Intelligence
Venue/Journal:
Proceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
DOI:
10.1109/VRW55335.2022.00210
Research type:
Water System:
Technical Focus:
Abstract:
Ocean waves provide a large amount of renewable energy, and Wave energy converter (WEC) can convert wave energy into electric energy. This paper proposes a visualization platform for wave power generation. The platform can monitor various indicators of wave power generation in real time, combined with Long Short-Term Memory (LSTM) neural network to predict wave power and electricity consumption. We make digital twins of a wave power plant in a computer, allowing users to remotely view the factory through VR glasses. Β© 2022 IEEE.
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