1. Shodhganga@INFLIBNET
  2. Panjab University
  3. National Institute of Technical Teachers Training and Research (NITTTR)
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/326664
Title: Development of artificial intelligence based real time maximum power point tracking controller for a hybrid renewable energy system
Researcher: Khan, Mohammad Junaid
Guide(s): Mathew, Lini
Keywords: Artificial Intelligence
Engineering
Engineering and Technology
Engineering Electrical and Electronic
Fuel Cell System
Hybrid Renewable Energy System
Maximum Power Point Tracking Controller
Solar Photo Volataic
Wind Turbine System
University: Panjab University
Completed Date: 2018
Abstract: 
Pagination: xxiv,287p.
URI: http://hdl.handle.net/10603/326664
Appears in Departments:National Institute of Technical Teachers Training and Research (NITTTR)

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File173.93 kBAdobe PDFView/Open
02_certificate.pdf1.23 MBAdobe PDFView/Open
03_acknowledgement.pdf178.57 kBAdobe PDFView/Open
04_contents.pdf315.65 kBAdobe PDFView/Open
05_list_of_figures.pdf482.77 kBAdobe PDFView/Open
06_list of tables.pdf250.24 kBAdobe PDFView/Open
07_abbreviations.pdf254.73 kBAdobe PDFView/Open
08_abstract.pdf179.8 kBAdobe PDFView/Open
09_chapter1.pdf636.22 kBAdobe PDFView/Open
10_chapter2.pdf536.21 kBAdobe PDFView/Open
11_chapter3.pdf1.75 MBAdobe PDFView/Open
12_chapter4.pdf6.85 MBAdobe PDFView/Open
13_chapter5.pdf4.62 MBAdobe PDFView/Open
14_chaper_6.pdf3.8 MBAdobe PDFView/Open
15_chapter7.pdf2.89 MBAdobe PDFView/Open
16_chapter8.pdf443.42 kBAdobe PDFView/Open
17_chapter9.pdf267.71 kBAdobe PDFView/Open
18_bibliography.pdf574.82 kBAdobe PDFView/Open
80_recommendation.pdf267.71 kBAdobe PDFView/Open
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