Data-Driven Evaluation of Energy-Efficient Smart Home Automation Systems in India: Aligning Technological Adoption with National Energy and Sustainability Policies

Author(s)	Nitesh Bathma, Dr. Narender Sharma
Country	India
Abstract	The growing rate of residential power consumption in India calls on the use of energy-efficient technologies in line with the national sustainability targets. Internet of Things (IoT), artificial intelligence (AI), and data analytics have become a solution of the future as a way of streamlining energy consumption through smart home automation systems. This paper gives an evidence-based assessment of a smart home system that is energy efficient in India and how they comply with the national policies like the National Smart grid Mission (NSGM), the Energy conservation building code (ECBC) and the National action plan on climate change (NAPCC). The study measures energy savings, cost effectiveness, user adoption and policy integration using secondary datasets, case studies and simulation based analysis. These results suggest that intelligent automation can help cut down on the amount of energy used in households by 20 to 35 percent, yet there are barriers to large-scale automation (including high initial prices, lack of digital literacy, and fragmented policies). The research paper suggests a combined model of relating the technological innovation and policy adoption to hasten the process of sustainable energy transitions in India.
Keywords	Home Automation, Energy Saving, IoT, AI, Sustainability Policy, India, Data Analytics, Energy Saving.
Published In	Volume 7, Issue 1, January-February 2025
Published On	2025-01-14

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International Journal For Multidisciplinary Research