Predictive Maintenance in Renewable Energy Systems using Advanced Artificial Intelligence Techniques

dc.contributor.author	Baruah, Diganta
dc.date.accessioned	2026-07-23T09:51:25Z
dc.date.issued	2026
dc.description	Chouhan, Sonali
dc.description	Subbiah, Senthilmurugan
dc.description.abstract	Due to major industrial expansions, population growth, and a steep rise in per capita energy consumption, the world's energy demand has been steadily rising. A large amount of energy needs are met by electricity. The production of electricity using fossil fuels has nearly achieved saturation due to environmental factors and the finite supply of fossil fuels. Therefore, renewable energy sources must fill the gap between demand and supply.
dc.identifier.other	ROLL NO.186151013
dc.identifier.uri	https://gyan.iitg.ac.in/handle/123456789/3279
dc.language.iso	en
dc.relation.ispartofseries	TH-4096
dc.rights	https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.uri	https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.title	Predictive Maintenance in Renewable Energy Systems using Advanced Artificial Intelligence Techniques
dc.type	Thesis