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An IoT-Based Energy Meter for Energy Level Monitoring, Predicting, and Optimization
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Author(s): Sivakumar V. (Dayananda Sagar Academy of Technology and Management, India), Swathi R. (Sree Abiraami College for Women, Thiruvalluvar University, Vellore, India)and Yuvaraj V. (Shenzhen Center Power Tech Co. Ltd., Shenzhen, China)
Copyright: 2021
Pages: 18
Source title:
Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing
Source Author(s)/Editor(s): Sathiyamoorthi Velayutham (Sona College of Technology, India)
DOI: 10.4018/978-1-7998-3111-2.ch004
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Abstract
The current methods of energy monitoring and metering in India are extremely labor-intensive and prone to human errors. The system the authors propose will incorporate an automatic energy reading meter system (AERM) which will aid in the collection of data accurately and efficiently. Additionally, power companies find it hard to withstand the power requirement of a consumer because of a surge in industries, buildings, and population. The usage of electrical appliances has drastically increased over time. As per as energy balance maintains between the energy demand and supply for the power companies are bearing in mind an energy supervision technique. Therefore, there is adoption for load scheduling or load shifting to reduce the electricity bill. So consequently, the authors look into various optimization algorithms for load-shifting.
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