Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Internet of things based metaheuristic reliability centered maintenance of distribution transformers Subject The topic of the resource Distributed generation; Machine learning; Optimization; Reliability centered maintenance Description An account of the resource The transformer is a vital component of the power system. Continuous stress on the transformer due to overload, transient and faults will lead to physical damages. The isolation of the transformer causes significant revenue loss and inconvenience to the consumers at the distribution level. This invites the need to achieve a reliable power supply to the consumers and to perform maintenance activity appropriately. Optimized and predictive maintenance strategies are evolved to improve power availability for consumers. The model considers dispersive generation at the customer end, namely solar photovoltaics standalone system, diesel generation, and vehicle to load capabilities. Incipient or critical status of transformers' functional parameters are observed through the transformer terminal unit and sent to the internet of things platform. The remote processing unit acquires the information from all the distribution transformer and generates the optimized and reliability-centered maintenance schedule. In the proposed work, new reliability indices concerning the consumer dispersive generation are defined. The maximization of the reliability problem is solved using the coconut tree optimization technique. The highest reliability of power supply to the consumer and maintenance schedule are obtained. Economic facet of the estimated maintenance schedule exhibit benefit for both utility and consumer as it encapsulate time of use tariff. The heuristic dataset is used to synthesize the trained model by the machine learning algorithm and future maintenance schedule is predicted. The comparative study is made for the outcome of time-based optimized and predicted maintenance schedules against reliability. 2020 Institute of Physics Publishing. All rights reserved. Creator An entity primarily responsible for making the resource Venkataswamy R.; Uma Rao K.; Meena P. Source A related resource from which the described resource is derived IOP Conference Series: Earth and Environmental Science, Vol-463, No. 1 Publisher An entity responsible for making the resource available Institute of Physics Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1088/1755-1315/463/1/012047" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1755-1315/463/1/012047</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083420404&amp;doi=10.1088%2F1755-1315%2F463%2F1%2F012047&amp;partnerID=40&amp;md5=2c102faaf456a4924005ea8a92187c9b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083420404&amp;doi=10.1088%2f1755-1315%2f463%2f1%2f012047&amp;partnerID=40&amp;md5=2c102faaf456a4924005ea8a92187c9b</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17551307 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Venkataswamy R., Department of Electrical and Electronics Engineering, Christ (Deemed to be University), Bangalore, India; Uma Rao K., Department of Electrical and Electronics Engineering, RV College of Engineering, Bangalore, India; Meena P., Department of Electrical and Electronics Engineering, BMS College of Engineering, Bangalore, India