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Key barriers to the implementation of solar energy in Nigeria: a critical analysis. (2017)
Journal Article
ABDULLAHI, D., SURESH, S., RENUKAPPA, S. and OLOKE, D. 2017. Key barriers to the implementation of solar energy in Nigeria: a critical analysis. IOP conference series: earth and environmental science [online], 83(1): proceedings of the 2nd International conference on green energy technology (ICGET 2017), 18-20 July 2017, Rome, Italy, article 012015. Available from: https://doi.org/10.1088/1755-1315/83/1/012015

Nigeria, potentially, has abundant sunshine throughout the year, making it full thirst for solar energy generation. Even though, the country's solar energy projects have not realised a fair result over the years, due to many barriers associated with... Read More about Key barriers to the implementation of solar energy in Nigeria: a critical analysis..

Solar energy development and implementation in Nigeria: Drivers and barriers (2017)
Conference Proceeding
ABDULLAHI, D., SURESH, S., RENUKAPPA, S. and OLOKE, D. 2017. Solar energy development and implementation in Nigeria: drivers and barriers. In Proceedings of the 2017 ISES (International Solar Energy Society) Solar world congress (ISES SWC 2017), co-located with the 5th International Energy Agency Solar heating and cooling for buildings and industry international conference (IEA SHC 2017), 29 October - 02 November 2017, Abu Dhabi, UAE. Freiburg: ISES [online], pages 923-931. Available from: https://doi.org/10.18086/swc.2017.16.01

The over dependency on fossil fuel in Nigeria could be one big reason for the total failure of the power sector. The country's economic development which depends on productivity output is in peril due to the imminent energy crisis from gas shortage,... Read More about Solar energy development and implementation in Nigeria: Drivers and barriers.

An artificial lift selection approach using machine learning: a case study in Sudan. (2023)
Journal Article
MAHDI, M.A.A., AMISH, M. and OLUYEMI, G. 2023. An artificial lift selection approach using machine learning: a case study in Sudan. Energies [online], 16(6), article number 2853. Available from: https://doi.org/10.3390/en16062853

This article presents a machine learning (ML) application to examine artificial lift (AL) selection, using only field production datasets from a Sudanese oil field. Five ML algorithms were used to develop a selection model, and the results demonstrat... Read More about An artificial lift selection approach using machine learning: a case study in Sudan..

Understanding African jurisprudence and philosophy. (2023)
Presentation / Conference
MCKAY, F., WILLIAM, I. and STAVERT, J. 2023. Understanding African jurisprudence and philosophy. Presented at the 1st Cross-cultural conversation of the Interdisciplinary Forum for the Study of Jurisprudence and Value Inquiry in the Non-Western World (JVI), 1 March 2023, Aberdeen, UK.

This seminar was the first meeting or cross-cultural conversation (CCC) organised by the Interdisciplinary Forum for the Study of Jurisprudence and Value Inquiry in the Non-Western World (JVI), convened by Olufemi Ilesanmi. This particular event, mod... Read More about Understanding African jurisprudence and philosophy..

An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries. (2023)
Journal Article
LONG, T., WANG, S., CAO, W., ZHOU, H. and FERNANDEZ, C. 2023. An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries. Electrochimica acta [online], In Press, article 142270. Available from: https://doi.org/10.1016/j.electacta.2023.142270

Accurate assessment of SOE and SOH is a critical issue in the battery management system. This paper proposes an improved variable forgetting factor recursive least square-double extend Kalman filtering algorithm based on global mean particle swarm op... Read More about An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries..