
This study focuses on the implementation of smart city initiatives within high-rise residential towers in Addis Ababa, Ethiopia, with a particular emphasis on reducing energy consumption. A mixed-methods approach was employed, integrating surveys with sensor data analysis to assess the impact of smart city technologies on energy consumption patterns. Statistical models were used to predict future trends in energy use based on current data. Initial findings suggest that a 15% reduction in electricity usage can be achieved through the implementation of smart lighting and HVAC systems, with a significant increase in user satisfaction noted across all surveyed households (n=200). The technological framework demonstrates potential for reducing energy consumption while improving user experience. Recommendations are provided to further refine and scale these technologies. Further research is recommended to validate the findings through longitudinal studies, and policy recommendations should prioritise funding for smart city infrastructure in high-rise residential areas.
Geographic, IoT, Analytics, Sustainability, Energy Efficiency, Green Building, Urban
Geographic, IoT, Analytics, Sustainability, Energy Efficiency, Green Building, Urban
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