Proposal of smart home resource management for waste reduction and sustainability using AI and ML
- Title
- Proposal of smart home resource management for waste reduction and sustainability using AI and ML
- Creator
- Kumar J.N.A.; Chimmani S.
- Description
- A research indicated that electricity is obliterating extra non-renewable sources for its production. In that, as per Centre for Policy Research (CPR), about 25% of the total production is diverted to meet the daily consumption in an Indian household. Not only this but also, waste management has become an important issue to deal with. According to Municipal Solid Waste (MSW) of India, waste generation in Indian urban communities extends between 200 - 870 grams per day, contingent on the localities' standard of living and the area of the city. Therefore, in this paper we propose a concept that focuses on a sustainable solution using Artificial Intelligence and Machine Learning algorithms for waste and carbon footprint reduction in a home. This concept explains a solution availed with the help of a proposed model called Home Resource Management (HoReM) that is imbibed in a Smart home. 2019 IEEE.
- Source
- Proceedings of the 4th International Conference on Communication and Electronics Systems, ICCES 2019, pp. 992-998.
- Date
- 2019-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Artificial Intelligence; carbon footprint reduction; Home Resource Management (HoReM); Internet of Things; Machine Learning; Smart home; waste management
- Coverage
- Kumar J.N.A., Institute of Management Christ (Deemed to Be University), Bengaluru, India; Chimmani S., Institute of Management Christ (Deemed to Be University), Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-172811261-9
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Kumar J.N.A.; Chimmani S., “Proposal of smart home resource management for waste reduction and sustainability using AI and ML,” CHRIST (Deemed To Be University) Institutional Repository, accessed April 21, 2025, https://archives.christuniversity.in/items/show/20768.