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 Machine learning approach for automatic solar panel direction by using nae bayes algorithm Subject The topic of the resource Artificial intelligence; Energy efficient; Machine learning; Microcontroller; Nae Bayes; Solar panel Description An account of the resource The upsurge in fuel prices are pointing out the fact that, the deficiency of conventional form of natural resources and building dams can never fulfill the demand of the growing population and it is exponentially increasing the electricity demand. Electricity is a day-to-day component, which is utilized for lighting, running appliances, machines. Moreover a large number of people are now switching to electric cars. Henceforth, it is equally important to achieve self-sustainability in energy needs and also it is necessary to have an infinite energy source. Sustainable power is the solitary solution to resolve this issue. On the other hand, the Indian government is promoting solar technology a lot in the year 2021 by providing subsidies to a maximum limit of 65% for the installation of home solar projects and this encourages people to switch to electric vehicles to reduce the pollution. This article presents a machine learning based dual-axis solar tracker to enhance the energy harnessing efficiency. Furthermore, the proposed method utilizes Nae Bayes algorithm to develop a better solution for producing higher energy from the solar panel. The Nae Bayes algorithm is a type of machine learning algorithm, which has been used to predict the reliable direction. This proposed method generates higher electricity, when compared with the traditional method. The experimental results aim to fix the north east direction of solar panel that produces 17.4 watts per hour, wherein the proposed method produces 24.8 watts. It is indicated that, more than 25% additional power generation is obtained by using Nae Bayes algorithm method. 2021 IEEE. Creator An entity primarily responsible for making the resource Tharakan R.A.; Joshi R.; Ravindran G.; Jayapandian N. Source A related resource from which the described resource is derived Proceedings - 5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021, pp. 1317-1322. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICCS51141.2021.9432114" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICCS51141.2021.9432114</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107560091&amp;doi=10.1109%2FICICCS51141.2021.9432114&amp;partnerID=40&amp;md5=557956aa50f67abff34e3e71ee9f194d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107560091&amp;doi=10.1109%2fICICCS51141.2021.9432114&amp;partnerID=40&amp;md5=557956aa50f67abff34e3e71ee9f194d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166541272-8 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 Tharakan R.A., Christ University, Department of CSE, Bangalore, India; Joshi R., Christ University, Department of CSE, Bangalore, India; Ravindran G., Christ University, Department of CSE, Bangalore, India; Jayapandian N., Christ University, Department of CSE, India