Skip navigation


  • DSpace logo
  • Home
  • Collections
  • Researcher Profile
  • Explore by
    • Researcher Profile
  • VGU library
  • Help
  • User Guide
  • Sign on to:
    • My DSpace
    • Receive email
      updates
    • Edit Account details

VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1724
DC FieldValueLanguage
dc.contributor.authorThai Hoang Tamen_US
dc.date.accessioned2023-10-26T04:38:53Z-
dc.date.available2023-10-26T04:38:53Z-
dc.date.issued2017-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/1724-
dc.description.abstractThe thesis shows some short-term prediction models using a combination of Convolutional Neural Network (CNN) and long short-term memory (LSTM) network with the SSO technique for the remaining useful life (RUL) or lifetime consumption (LC) of a PV system in a microgrid. This thesis also covers fundamental knowledge of a PV system to understand which factors, and components can affect the lifespan of a PV system. The main goal of the thesis is to try different machine-learning methods for the short-term (one day ahead) prediction model and suggest the best model for each type of dataseten_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectPV systemen_US
dc.subjectBlocking diodeen_US
dc.subjectBypass diodeen_US
dc.subjectLifetime consumptionen_US
dc.subjectCNNen_US
dc.subjectLSTMen_US
dc.subjectSSOen_US
dc.titleRemaining useful life prediction of Solar Panels in the Microgrid using combination of CNN and LSTM approachesen_US
dc.typeThesisen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
item.languageiso639-1other-
Appears in Collections:Computer Science (CS)
Files in This Item:
File Description SizeFormat Existing users please Login
Remaining Useful Life Prediction of Solar Panelsin the Microgrid using Combination of CNN and LSTM Approaches.pdf1.19 MBAdobe PDF
Show simple item record

Page view(s)

102
checked on Oct 15, 2025

Download(s)

39
checked on Oct 15, 2025

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons

© Copyright 2020 by Vietnamese - German University Library.
Add: Ring road 4, Quarter 4, Thoi Hoa Ward, Ben Cat City, Binh Duong Province
Tel.:(0274) 222 0990. Ext.: 70206