A peer-and self-group competitive behavior-based socio-inspired approach for household electricity conservation.

ABSTRACT: This paper proposes a knowledge-based decision-making system for energy bill assessment and competitive energy consumption analysis for energy savings. As humans have a tendency toward comparison between peers and self-groups, the same concept of competitive behavior is utilized to design knowledge-based decision-making systems. A total of 225 house monthly energy consumption datasets are collected for Maharashtra state, along with a questionnaire-based survey that includes socio-demographic information, household appliances, family size, and some other parameters. After data collection, the pre-processing technique is applied for data normalization, and correlation technique-based key features are extracted. These features are used to classify different house categories based on consumpti

SUBMITTER: Ramnath GS 

PROVIDER: S-EPMC11282066 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature