Mapping frequent spatio-temporal wind profile patterns using multi-dimensional sequential pattern mining
Holistic understanding of wind behaviour over space, time and height is essential for harvesting wind energy application. This study presents a novel approach for mapping frequent wind profile patterns using multi-dimensional sequential pattern mining (MDSPM). This study is illustrated with a time s...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Taylor and Francis Ltd.
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/77457/ https://www.tandfonline.com/doi/full/10.1080/17538947.2016.1217943 |
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| Institution: | Universiti Teknologi Malaysia |