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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Artificial Intelligence-Driven Smart Home Towards Energy Efficiency
Authors
Yash Naik, Prof. Vrushali Wankhede
Keywords
Artificial Intelligence (AI), Smart Homes, Energy Efficiency, Energy Management Systems (EMS), Load Disaggregation, Forecasting Engine, Internet of Things (IoT), Renewable Energy, Smart Lighting Solutions, Non-Intrusive Load Monitoring (NILM), AI-Driven Energy Optimization, Home Energy Consumption, Machine Learning, Energy Forecasting, Smart Meters.
Abstract
This research focuses on leveraging Artificial Intelligence (AI) to enhance energy efficiency in smart homes. By integrating advanced techniques such as load disaggregation, Energy Management Systems (EMS), and demand forecasting, AI-driven smart homes optimize energy consumption while ensuring user comfort. The proposed model demonstrates the potential of AI to dynamically adapt energy use, minimize costs, and reduce environmental impact. Case studies like Tesla's Power Wall and IoT-based smart lighting solutions underscore the practical implementation of these technologies. The paper highlights challenges such as data privacy and infrastructure limitations while envisioning future advancements in AI-enabled energy-efficient solutions.
IJCRT's Publication Details
Unique Identification Number - IJCRT2411718
Paper ID - 273017
Page Number(s) - g411-g416
Pubished in - Volume 12 | Issue 11 | November 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Yash Naik, Prof. Vrushali Wankhede, "Artificial Intelligence-Driven Smart Home Towards Energy Efficiency", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 11, pp.g411-g416, November 2024, Available at :http://www.ijcrt.org/papers/IJCRT2411718.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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