Power prediction using the wind turbine power curve and data-driven approaches /
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Main Author: | |
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Format: | Thesis Book |
Language: | English |
Published: |
2018.
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Subjects: | |
Online Access: | http://studentsrepo.um.edu.my/8970/ |
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LEADER | 01293cam a2200313 i 4500 | ||
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001 | u1091768 | ||
003 | SIRSI | ||
005 | 201808090915 | ||
008 | 180809s2018 my a m 000 0 eng | ||
040 | |a UMM |d AUM |e rda | ||
090 | |a Q180 |b UMP 2018 Ren | ||
100 | 1 | |a Renani, Ehsan Taslimi, |e author. | |
245 | 1 | 0 | |a Power prediction using the wind turbine power curve and data-driven approaches / |c Ehsan Taslimi Renani. |
264 | 1 | |c 2018. | |
300 | |a xxii, 165 leaves : |b illustrations ; |c 30 cm. | ||
336 | |a text |2 rdacontent | ||
337 | |a unmediated |2 rdamedia | ||
338 | |a volume |2 rdacarrier | ||
502 | |b Ph.D. |c Institut Pengajian Siswazah, Universiti Malaya |d 2018. | ||
504 | |a Bibliography: leaves 149-162. | ||
650 | 0 | |a Wind turbines |x Automatic control. | |
650 | 0 | |a Wind energy conversion systems. | |
650 | 0 | |a Electric power production. | |
710 | 2 | |a Universiti Malaya. |b Institut Pengajian Siswazah, |e degree granting institution. | |
856 | 4 | 1 | |u http://studentsrepo.um.edu.my/8970/ |
596 | |a 1 25 | ||
900 | |a NSR NSM | ||
999 | |a Q180 UMP 2018 REN |w LC |c 1 |i A517175923 |d 25/9/2018 |f 25/9/2018 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 6/9/2018 |1 STEM | ||
999 | |a Q180 UMP 2018 REN |w LC |c 1 |i A516571083 |d 5/10/2018 |f 5/10/2018 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 3/10/2018 |1 STEM |o .STAFF. MST-CD5012 |