Industrial Application – Energy Efficiency and Sustainability by Machine Learning
The interface between machine learning (ML) and industrial applications has received a lot of interest recently due to the potential of ML to alter energy efficiency and sustainability programs. Since world is facing energy crisis and adverse effect of global warming therefore the need of energy efficient process opens the pathway of advance technologies. This article explores the potential of machine learning techniques to improve industrial processes, reduce energy usage, and support sustainable practices. For increasing the energy efficiency and sustainability, we also discuss the applications, problems and future of the Machine learning in industries. We will focus on several energy efficient process that helps the future generation to enhance their work ability and will be able to minimize the uses of non-renewable energy sources.
Authors
- Gagandeep Kaur (ORCID: https://orcid.org/0000-0002-1646-8324)
- Sajjan Singh (ORCID: https://orcid.org/0000-0003-3570-8626)
- Nancy Sidana (ORCID: https://orcid.org/0000-0002-5369-4216)
- Jaya Bansal
- Preetinder Kaur (ORCID: https://orcid.org/0000-0002-3515-0530)
Institutions
- Chandigarh University (IN)
- Punjab Engineering College (IN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/i3ceet61722.2024.10993875
- Primary Topic
- Energy Efficiency and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00