Abstract
Current study results on Machine Learn ing have been published. According to news reporting originating in Clemson, Sou th Carolina, by NewsRx journalists, research stated, "Energy justice advocates f or the equitable and accessible provision of energy services, mainly focusing on marginalized communities. Adopting machine learning in analyzing energy-related data can unintentionally reinforce social inequalities." Financial supporters for this research include Wellcome Trust Fundation, UK, Nat ional Science Foundation (NSF), United States Department of Energy (DOE), Nation al Science Foundation (NSF).
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