Optimization of hybrid renewable energy generation using a nature-inspired algorithm with advanced IoT analytics

Frimpong, Samuel Ofori

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Durban University of Technology

Optimization of hybrid renewable energy generation using a nature-inspired algorithm with advanced IoT analytics

dc:creator Frimpong, Samuel Ofori

dc:date2023

Abstract

dc:description

Submitted in fulfillment of the requirements of the degree of Doctor of Philosophy in Information Technology (IT) at Durban University of Technology, Durban, South Africa, 2022.

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Frimpong, Samuel Ofori
Contributors dc:contributor: Millham, Richard
Agbehadji, Israel Edem

Subjects

dc:subject × 8

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Language dc:language: en

Identifiers

dc:identifier.*

Identifier: https://doi.org/10.51415/10321/4785
OAI identifier oai:identifier: oai:openscholar.dut.ac.za:10321/4785

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Harvested from: Durban University of Technology
Base URL: openscholar.dut.ac.za/server/oai/request
Last updated: 2026-07-27
Source record: OAI-PMH GetRecord

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citation

Frimpong, Samuel Ofori. Optimization of hybrid renewable energy generation using a nature-inspired algorithm with advanced IoT analytics. 2023. https://hdl.handle.net/10321/4785

Optimization of hybrid renewable energy generation using a nature-inspired algorithm with advanced IoT analytics

Abstract

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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