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Optimal location selection for a distributed hybrid renewable energy system in rural Western Australia: A data mining approach

Rain Holloway, Darren Ho, Colin Delotavo, William Yau Xie, Iman Rahimi, Mohammad Reza Nikoo, Amir H. Gandomi · 2023 · Energy Strategy Reviews

Summary. This paper uses data mining techniques to identify optimal locations for hybrid renewable energy systems in rural Western Australia. Researchers applied K-Means and K-Medoids clustering algorithms to 69 locations, then evaluated potential wind and solar output using HOMER software. K-Means performed better at clustering, while K-Medoids identified locations with higher average renewable energy generation, though both approaches had limitations in accounting for local energy requirements.

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Holloway, R., Ho, D., Delotavo, C., Xie, W. Y., Rahimi, I., Nikoo, M. R., & Gandomi, A. H.. (2023). Optimal location selection for a distributed hybrid renewable energy system in rural Western Australia: A data mining approach. Energy Strategy Reviews. https://doi.org/10.1016/j.esr.2023.101205

Details

DOI
10.1016/j.esr.2023.101205
Countries
Australia
Regions
Oceania
Categories
energy, climate-and-environment
Added
2026-04-28