Machine learning approach for automatic solar panel direction by using nae bayes algorithm
- Title
- Machine learning approach for automatic solar panel direction by using nae bayes algorithm
- Creator
- Tharakan R.A.; Joshi R.; Ravindran G.; Jayapandian N.
- Description
- 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.
- Source
- Proceedings - 5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021, pp. 1317-1322.
- Date
- 2021-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Artificial intelligence; Energy efficient; Machine learning; Microcontroller; Nae Bayes; Solar panel
- Coverage
- 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
- Rights
- Restricted Access
- Relation
- ISBN: 978-166541272-8
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Tharakan R.A.; Joshi R.; Ravindran G.; Jayapandian N., “Machine learning approach for automatic solar panel direction by using nae bayes algorithm,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/20497.