A Novel Hybrid CNN-XGBoost Model for Photovoltaic System Power Forecasting

Safia Babikir Bashir, Mena Maurice Farag, Abdul Kadir Hamid, Ali Ahmed Adam, Ahmed Galal Abo-Khalil, Ramesh Bansal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the 2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350382891
DOIs
StatePublished - 2024
Externally publishedYes
Event6th International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2024 - Moscow, Russian Federation
Duration: Feb 29 2024Mar 2 2024

Publication series

NameProceedings of the 2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2024

Conference

Conference6th International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2024
Country/TerritoryRussian Federation
CityMoscow
Period2/29/243/2/24

ASJC Scopus Subject Areas

  • Instrumentation
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

Keywords

  • Convolution Neural Network (CNN)
  • Forecasting models
  • PV systems
  • Solar Energy
  • XGBoost

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