Digital Twins of Wave Energy Generation Based on Artificial IntelligenceShow others and affiliations
2022 (English)In: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 718-719Conference paper, Published paper (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022. p. 718-719
Keywords [en]
AI, Digital Twins, Human-centered computing, Treemaps, Visualization, Visualization design and evaluation methods, Visualization techniques, Wave Power, Long short-term memory, Water waves, Wave energy conversion, Design and evaluation methods, Large amounts, Treemap, Visualization design and evaluation method, Visualization designs, Visualization technique, Wave energy generations, Wave power generation
National Category
Energy Engineering Marine Engineering Energy Systems
Identifiers
URN: urn:nbn:se:uu:diva-474575DOI: 10.1109/VRW55335.2022.00210ISI: 000808111800201Scopus ID: 2-s2.0-85129662095ISBN: 9781665484022 (electronic)ISBN: 9781665484039 (print)OAI: oai:DiVA.org:uu-474575DiVA, id: diva2:1658799
Conference
2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022, 12-16 March 2022
2022-05-172022-05-172025-02-10Bibliographically approved