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Publication: IIP Proceedings Year: 2022, Month: November Page No: 297-305, ISSN/ISBN: 978-81-959356-3-5, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023D8FC5727AD55BC8.pdf
APPLICATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO EVALUATE THE FEASIBILITY OF ENERGY INFRASTRUCTURE THROUGH SMART PLUG
Area/Stream: Computing Technologies and Data Sciences, Authors: Sharath M P,Divya V M Keywords: Smart plug • Artificial Intelligence • Machine Learning • Energy Efficiency • Text Mining • Data Analytics Book Name /series: Futuristic Trends in Computing Technologies and Data Sciences, Volume 2, Book 18, Part 6, Chapter 1Publication: IIP Proceedings Year: 2022, Month: November Page No: 297-305, ISSN/ISBN: 978-81-959356-3-5, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023D8FC5727AD55BC8.pdf
Abstract:
Evaluating the performance of an electrical appliances in a household is a very crucial step towards achieving energy efficiency. Currently, there are various solutions to assess the energy efficiency in the market yet they are lacking in re usability and feasibility in using the latest technological development.This proposed paper approaches the familiar concept of energy efficiency through the implementation of advanced artificial intelligence and machine learning models through a smart plug.This smart plug is found to increase energy efficiency and reports in efficient device using various algorithms and techniques. The technologies used are machine learning for data processing, artificial intelligence is used for text mining and self improving computer models. Statistics and analytics are used for data analysis and date presentation.
Cite this: Sharath M P,Divya V M,"APPLICATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO EVALUATE THE FEASIBILITY OF ENERGY INFRASTRUCTURE THROUGH SMART PLUG", Futuristic Trends in Computing Technologies and Data Sciences, Volume 2, Book 18, Part 6, Chapter 1, November, 2022, 297-305, 978-81-959356-3-5, https://rsquarel.org/assets/docupload/rsl2023D8FC5727AD55BC8.pdf
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