Role of Machine Learning in Sustainable Engineering: A Review

Sustainable engineering is the method of modelling or running systems that allow efficient use of products and resources, that is, at a scale which would not endanger the natural habitat or the potential of subsequent generations to reach their own needs. Machine learning has large number of applications such as healthcare, agriculture, security and even in day to day life. In sustainable computing, machine learning also plays a crucial role. The emergence of Machine learning and even its exponentially greater implications on many markets require an evaluation of its implications on sustainable innovation achievement. In this paper, a review of supervised and unsupervised machine algorithms is done which are used in sustainable engineering. Different engineering disciplines such as mechanical, civil, chemical engineering are covered that working on sustainability. As the interpretation of the review it can be stated that there is a wide scope of working on sustainable development though machine learning. Specific machine learning algorithms are required to work on sustainable engineering. This review is helpful for engineers which are working in the field of sustainable development.