Optimizing Home Energy Systems Through Algorithmic Techniques
Year: 2025
Type: article
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.
Source: Afrischolar Discovery
Authors: Osagie-Bolaji, Aimuamwosa Nathan, Airiohuodion, Ehimare O.
Language: English
Topic: Smart Grid Energy Management
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7092571970
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