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Fortunate Olifant

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Machine Learning Approach to Identify Important Parameters Influencing Pumping Load Shift in a Complex Dewatering System of a Deep-Level Mine

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By Shaun L Hancock, Johan du Plessis, Jean van Laar, Fortunate Olifant
| MDPI
1. Introduction The mining sector is one of the most significant contributors to the South African economy and one of the major consumers of energy [1,2]. The Witwatersrand Basin in South Africa holds over half of the world’s gold reserves [3]. As gold mines deepen, they become more energy-intensive and complex [4,5]. Due to electricity crises and rising electricity costs in South Africa, the mining sector is compelled to find ways to be more energy-efficient and energy cost-conscious [6,7].
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