Publication: Fuzzy model for predicting electric generation from sea wave energy in Thailand
dc.contributor.author | Supachai Phaiboon | en_US |
dc.contributor.author | Khunchai Tanukitwattana | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.date.accessioned | 2018-12-21T07:22:35Z | |
dc.date.accessioned | 2019-03-14T08:03:28Z | |
dc.date.available | 2018-12-21T07:22:35Z | |
dc.date.available | 2019-03-14T08:03:28Z | |
dc.date.issued | 2017-02-08 | en_US |
dc.description.abstract | © 2016 IEEE. This paper presents electrical energy predicting from sea waves in Thailand using fuzzy logic approximation. We installed a study of 300 W electric generator and performed measurement of the wave height and electric power generating. This information is used for modeling to analyze the relationship Then we applied our fuzzy model to predict the electric generation from sea wave in Gulf of Thailand and Andaman sea. The results show comfortable and fast predicting with high accuracy for uncertain sea wave energy. | en_US |
dc.identifier.citation | IEEE Region 10 Annual International Conference, Proceedings/TENCON. (2017), 2646-2649 | en_US |
dc.identifier.doi | 10.1109/TENCON.2016.7848518 | en_US |
dc.identifier.issn | 21593450 | en_US |
dc.identifier.issn | 21593442 | en_US |
dc.identifier.other | 2-s2.0-85015428008 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/42411 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85015428008&origin=inward | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Engineering | en_US |
dc.title | Fuzzy model for predicting electric generation from sea wave energy in Thailand | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85015428008&origin=inward | en_US |