Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/346098
Title: | Hybrid machine learning models forwind speed prediction in renewable energy applications |
Researcher: | YogambalJayalakshmi, N |
Guide(s): | Deepa, S N |
Keywords: | Engineering and Technology Engineering Engineering Electrical and Electronic Renewable energy Wind speed Machine learning |
University: | Anna University |
Completed Date: | 2020 |
Abstract: | Wind power is a clean, eco-friendly renewable energy source that can beadopted as an alternative for other exhaustible energy sources such as coal.The generated wind power is highly non-linear in nature as it is directly in relation tothe wind speed, which is a highly nonlinear entity. So, for wind power generationand management, the wind speed forecasting is an inevitable process to be carriedout, in the proposed thesis various machine learning and neural network-based windspeed forecasting models are developed and their prediction performances areanalyzed to present a better method for efficient and accurate forecasting. newline |
Pagination: | xxii,219p. |
URI: | http://hdl.handle.net/10603/346098 |
Appears in Departments: | Faculty of Electrical Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 27.49 kB | Adobe PDF | View/Open |
02_certificates.pdf | 2.04 MB | Adobe PDF | View/Open | |
03_vivaproceedings.pdf | 3.87 MB | Adobe PDF | View/Open | |
04_bonafidecertificate.pdf | 237.21 kB | Adobe PDF | View/Open | |
05_abstracts.pdf | 17.05 kB | Adobe PDF | View/Open | |
06_acknowledgements.pdf | 262.98 kB | Adobe PDF | View/Open | |
07_contents.pdf | 594.42 kB | Adobe PDF | View/Open | |
08_listoftables.pdf | 16.5 kB | Adobe PDF | View/Open | |
09_listoffigures.pdf | 131.56 kB | Adobe PDF | View/Open | |
10_listofabbreviations.pdf | 181.36 kB | Adobe PDF | View/Open | |
11_chapter1.pdf | 859.27 kB | Adobe PDF | View/Open | |
12_chapter2.pdf | 1.03 MB | Adobe PDF | View/Open | |
13_chapter3.pdf | 440.94 kB | Adobe PDF | View/Open | |
14_chapter4.pdf | 741.2 kB | Adobe PDF | View/Open | |
15_chapter5.pdf | 434.25 kB | Adobe PDF | View/Open | |
16_chapter6.pdf | 536.86 kB | Adobe PDF | View/Open | |
17_conclusion.pdf | 202.22 kB | Adobe PDF | View/Open | |
18_appendices.pdf | 217.05 kB | Adobe PDF | View/Open | |
19_references.pdf | 377.77 kB | Adobe PDF | View/Open | |
20_listofpublications.pdf | 132.06 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 126.17 kB | Adobe PDF | View/Open |
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