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.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/i3ceet61722.2024.10993875
Primary Topic
Energy Efficiency and Management
Type
article
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Industrial Application – Energy Efficiency and Sustainability by Machine Learning

Gagandeep Kaur, Sajjan Singh, Nancy Sidana, Jaya Bansal et al.
Energy Efficiency and Management
article

Industrial Application – Energy Efficiency and Sustainability by Machine Learning

Gagandeep Kaur, Sajjan Singh, Nancy Sidana, Jaya Bansal, Preetinder Kaur
article en

Abstract

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.

Chandigarh University (IN), Punjab Engineering College (IN)
Affordable and clean energy
Openalex Percentile: Top 83%
Energy Efficiency and Management
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Industrial Application – Energy Efficiency and Sustainability by Machine Learning — Gagandeep Kaur, Sajjan Singh, et al. · (2024) | TGRS Research Map | TGRS