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February 5, 2026Sustainable Computing Informatics and Systems

Energy Efficient Smart Control Strategies: Applying Machine Learning to Enhance Efficiency in Eco-Friendly Building Management for Renewable Energy Systems

Dhivakar Poosapadi G. Meena Devi G. Padmapriya K. Srinivasan T. logeshwaran J. Juli Amala Rani C. Ramesh Kumar E Rajesh kumar Mohiuddin Ali Khan

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Key Points

Enhanced energy efficiency is achieved through machine learning algorithms applied to building management, which adapts in real-time.
The findings indicate a notable improvement of 20% in energy consumption metrics for eco-friendly systems.
Data-driven modeling approaches optimize renewable energy systems, supporting better integration and control of energy resources.
This suggests potential advancements for sustainable architecture, but broader testing is needed in varied building environments.

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Implication

Observational analysis reveals enhanced efficiency in renewable energy systems for building management, indicating improved sustainability.

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Cite This Study

Poosapadi et al. (2026) studied this question.

synapsesocial.com/papers/69a76743badf0bb9e87e0393 https://doi.org/10.1016/j.suscom.2026.101315

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