Optimizing Energy Consumption in Smart Cities through Real-Time Data Analytics and IoT Integration: A Case Study Approach
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Abstract
With rapid urbanization, cities are facing immense pressure to provide essential services like electricity, water, transportation etc. to their growing population in a sustainable manner. Smart cities aim to improve the quality of urban services and optimize resource consumption through integration of advanced technologies like Internet of Things , big data analytics, cloud computing etc. This research paper presents a case study-based approach to demonstrate how real-time data analytics and IoT integration can help optimize energy consumption in smart cities. Two smart city implementations have been analyzed - the SmartSantander project in Santander, Spain and the Smart City initiative in Barcelona, Spain. These case studies highlight how intelligent energy management systems, smart meters, sensors and data analytics have helped reduce energy consumption and enabled sustainable growth. Challenges around data security, privacy, integration and analytics have also been discussed. With insights from these case studies, a framework has been proposed for other cities to effectively leverage IoT and analytics to make their energy infrastructure efficient and future ready.
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Last updated: 05-02-2023