Table 1.

Comparative analysis of existing methodologies.

Author/Citation	Implemented Technology	Methodology	Findings
Alam et al. (2019) [2]	Smart home	Peer-to-peer energy trading with routing topology	Cost saving is not directly proportional to the increase in the usage of renewable resources
Tchagna Kouanou et al. (2022) [5]	Smart home data security using Blockchain technology	Blockchain interpretation was used to keep communication records	Enhancing security of the overall system via encrypted communication index
Mansouri et al. (2023) [8]	Hierarchical decentralized framework technology	Deep learning-based forecaster and risk-aware information gap decision theory were employed to design efficient smart homes	The smart prosumer’s illustrated reduced energy requirements
Alzoubi et al. (2022) [11]	Machine learning technology	Involved bat optimization technique for reduced energy consumption of the smart home	Using machine learning for intelligent evaluation of energy consumption and finding the least used and highly used resources
Rivera et al. (2015) [12]	Automation technology	Built smart homes using interoperable automation using neural networks	Designed efficient smart homes with reduced energy consumption
Vanus et al. (2022) [17]	Occupancy detection for smart homes	Propagational neural networks	Developed an occupancy detection model and utilized the cloud for data centralization and monitoring purposes