Optimizing Home Energy Systems Through Algorithmic Techniques
DOI:
https://doi.org/10.60787/epjstem.vol2no1.18Keywords:
Smart home, home energy optimization,, rule-based algorithms,, optimization-based algorithms.Abstract
The growing demand for sustainable energy consumption, coupled with the rapid adoption of smart home technologies, has elevated the importance of optimizing residential energy systems. This paper provides a comprehensive survey of algorithmic techniques applied to home energy optimization, examining their underlying principles, strengths, limitations, and areas of applicability. The surveyed approaches are categorized into rule-based methods, optimization-driven models, artificial intelligence (AI)-based strategies, and hybrid frameworks. By analyzing their effectiveness across diverse residential energy management scenarios, the study aims to present a structured overview of the state-of-the-art while highlighting emerging challenges and potential directions for future research in intelligent home energy optimization.
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