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Home > Archives > Volume 20, No 7 (2022) > Article

DOI: 10.14704/nq.2022.20.7.NQ33351

An AI Based Framework for Energy Efficiency in Smart Homes

Kuldeep Sharma, Arun Malik, Isha Batra

Abstract

An Efficient AI (Artificial Intelligence) Based Framework for Energy Efficiency at Smart Home is designed for optimum utilization of the electricity with shifting of the load across the day with priority to benefit to consumer point of view in monetary terms and electricity point of view for demand control at peak loads. In this article, A deep analysis carried out for a smart home with respect to the instantaneous maximum load. The proposed framework prioritizes the smart appliances as per tasks and schedules in that order accordingly keeping load time of the day to save the tariff penalty for load overflow from the sanctioned load. IoT device embedded with the appliances controls the load with enhanced smart home framework. The HDFS setup in the framework caters the big data for fast and real-time control over the electricity demand. The framework automatically manages the electricity consumption patterns with Artificial Intelligence and Machine Learning Techniques. This approach not only saving the money of the consumers but also helps the electricity distribution companies to supply electricity with quality and demand technology. Various sampling techniques and machine learning algorithms and big data approximation frameworks are reviewed for analyzing the trends of the electricity consumption and optimizes the schedules of the home appliances accordingly. This framework is an automated self-contained controller with state-of-the-art technology.

Keywords

Energy, Artificial Intelligence, IoT, Smart energy Home

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