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In recent times, smart-built environments have gone through an incessant transformation, becoming more independent and sensitive ecosystems which can balance energy consumption and user comfort, whilst also achieving higher order of safety for users. The consumption of a high volume of energy in buildings has resulted in numerous environmental issues which have adverse effects on human survival. The estimation of building energy use becomes necessary to conserve energy and enhance decision-making in reducing energy usage. In addition, constructing energy-efficient buildings will help to reduce the total energy utilized in newly constructed buildings. The machine Learning (ML) technique was regarded as the most suitable method to produce favourable results in forecasting tasks. Therefore, in numerous studies, ML was implemented in the domain of energy utilization in operational buildings. This …