Loading...
Mr. A. Mohamed Iliyas is an Assistant Professor in the Department of Science and Humanities at Dhaanish Ahmed Institute of Technology, Coimbatore, India. His research focuses on Data Analytics, Artificial Intelligence, Cloud Computing, and Smart Energy Systems.
The rising demand for energy efficiency, sustainability, and intelligent resource management has propelled the implementation of cloud-based energy consumption analytics in residential, commercial, and industrial sectors. Conventional energy monitoring systems frequently exhibit deficiencies in scalability, real-time processing capabilities, and sophisticated analytical functions essential for contemporary energy management. Cloud computing offers a robust platform for the collection, storage, processing, and analysis of extensive energy consumption data produced by smart meters, IoT devices, sensors, and energy management systems. Integrating cloud technologies with artificial intelligence, machine learning, big data analytics, and edge computing enables organisations to derive actionable insights into energy consumption trends, optimise resource distribution, minimise operating expenses, and enhance sustainability. This chapter examines the architectures, methodology, applications, problems, and future trajectories of cloud-based energy consumption analytics, emphasising its significance in promoting smart energy ecosystems and sustainable development.