Adaptive PV Systems: Using Genetic Algorithm and Random Forest Classifier to Mitigate the Effects of Partial Shading on Solar Photovoltaic Systems

Ivan Perry M. Cabanayan; Adrian Enrico D. Rodriguez; Robert Alfie S. Peña; Erees Queen B. MacAbebe

doi:10.1109/TENCON61640.2024.10903002

Adaptive PV Systems: Using Genetic Algorithm and Random Forest Classifier to Mitigate the Effects of Partial Shading on Solar Photovoltaic Systems

Ivan Perry M. Cabanayan, Adrian Enrico D. Rodriguez, Robert Alfie S. Peña, Erees Queen B. MacAbebe

Department of Electronics, Computer, and Communications Engineering

Ateneo de Manila University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the IEEE Region 10 Conference 2024
Subtitle of host publication	Artificial Intelligence and Deep Learning Technologies for Sustainable Future, TENCON 2024
Editors	Bin Luo, Sanjib Kumar Sahoo, Yee Hui Lee, Christopher H T Lee, Michael Ong, Arokiaswami Alphones
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1173-1176
Number of pages	4
ISBN (Electronic)	9798350350821
DOIs	https://doi.org/10.1109/TENCON61640.2024.10903002
State	Published - 2024
Event	2024 IEEE Region 10 Conference, TENCON 2024 - Singapore, Singapore Duration: Dec 1 2024 → Dec 4 2024

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2024 IEEE Region 10 Conference, TENCON 2024
Country/Territory	Singapore
City	Singapore
Period	12/1/24 → 12/4/24

ASJC Scopus Subject Areas

Computer Science Applications
Electrical and Electronic Engineering

Keywords

genetic algorithms
partial shading
photovoltaic systems
random forests
reconfigurable devices

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/TENCON61640.2024.10903002

Cite this

Cabanayan, I. P. M., Rodriguez, A. E. D., Peña, R. A. S., & MacAbebe, E. Q. B. (2024). Adaptive PV Systems: Using Genetic Algorithm and Random Forest Classifier to Mitigate the Effects of Partial Shading on Solar Photovoltaic Systems. In B. Luo, S. K. Sahoo, Y. H. Lee, C. H. T. Lee, M. Ong, & A. Alphones (Eds.), Proceedings of the IEEE Region 10 Conference 2024: Artificial Intelligence and Deep Learning Technologies for Sustainable Future, TENCON 2024 (pp. 1173-1176). (IEEE Region 10 Annual International Conference, Proceedings/TENCON). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON61640.2024.10903002

Adaptive PV Systems: Using Genetic Algorithm and Random Forest Classifier to Mitigate the Effects of Partial Shading on Solar Photovoltaic Systems. / Cabanayan, Ivan Perry M.; Rodriguez, Adrian Enrico D.; Peña, Robert Alfie S. et al.
Proceedings of the IEEE Region 10 Conference 2024: Artificial Intelligence and Deep Learning Technologies for Sustainable Future, TENCON 2024. ed. / Bin Luo; Sanjib Kumar Sahoo; Yee Hui Lee; Christopher H T Lee; Michael Ong; Arokiaswami Alphones. Institute of Electrical and Electronics Engineers Inc., 2024. p. 1173-1176 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cabanayan, IPM, Rodriguez, AED, Peña, RAS & MacAbebe, EQB 2024, Adaptive PV Systems: Using Genetic Algorithm and Random Forest Classifier to Mitigate the Effects of Partial Shading on Solar Photovoltaic Systems. in B Luo, SK Sahoo, YH Lee, CHT Lee, M Ong & A Alphones (eds), Proceedings of the IEEE Region 10 Conference 2024: Artificial Intelligence and Deep Learning Technologies for Sustainable Future, TENCON 2024. IEEE Region 10 Annual International Conference, Proceedings/TENCON, Institute of Electrical and Electronics Engineers Inc., pp. 1173-1176, 2024 IEEE Region 10 Conference, TENCON 2024, Singapore, Singapore, 12/1/24. https://doi.org/10.1109/TENCON61640.2024.10903002

Cabanayan IPM, Rodriguez AED, Peña RAS, MacAbebe EQB. Adaptive PV Systems: Using Genetic Algorithm and Random Forest Classifier to Mitigate the Effects of Partial Shading on Solar Photovoltaic Systems. In Luo B, Sahoo SK, Lee YH, Lee CHT, Ong M, Alphones A, editors, Proceedings of the IEEE Region 10 Conference 2024: Artificial Intelligence and Deep Learning Technologies for Sustainable Future, TENCON 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 1173-1176. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). doi: 10.1109/TENCON61640.2024.10903002

Cabanayan, Ivan Perry M. ; Rodriguez, Adrian Enrico D. ; Peña, Robert Alfie S. et al. / Adaptive PV Systems : Using Genetic Algorithm and Random Forest Classifier to Mitigate the Effects of Partial Shading on Solar Photovoltaic Systems. Proceedings of the IEEE Region 10 Conference 2024: Artificial Intelligence and Deep Learning Technologies for Sustainable Future, TENCON 2024. editor / Bin Luo ; Sanjib Kumar Sahoo ; Yee Hui Lee ; Christopher H T Lee ; Michael Ong ; Arokiaswami Alphones. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 1173-1176 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

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title = "Adaptive PV Systems: Using Genetic Algorithm and Random Forest Classifier to Mitigate the Effects of Partial Shading on Solar Photovoltaic Systems",

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author = "Cabanayan, {Ivan Perry M.} and Rodriguez, {Adrian Enrico D.} and Pe{\~n}a, {Robert Alfie S.} and MacAbebe, {Erees Queen B.}",

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Adaptive PV Systems: Using Genetic Algorithm and Random Forest Classifier to Mitigate the Effects of Partial Shading on Solar Photovoltaic Systems

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

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