Analysis of Renewable Energy Demands using AI
Sustainable energy includes all kinds of renewable energy which is obtained through the natural resources of our earth that are infinite or non-exhaustible, which includes mainly wind energy and solar energy. The future energy will be renewable energy which will be replacement for the traditio...
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| Format: | Article |
| Language: | English English |
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INTI International University
2023
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/1903/ http://eprints.intimal.edu.my/1903/1/joit2023_33r.pdf http://eprints.intimal.edu.my/1903/2/341 |
| _version_ | 1848766866905890816 |
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| author | Karthick, Ramanathan Mohsina, Mirza |
| author_facet | Karthick, Ramanathan Mohsina, Mirza |
| author_sort | Karthick, Ramanathan |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | Sustainable energy includes all kinds of renewable energy which is obtained
through the natural resources of our earth that are infinite or non-exhaustible, which includes
mainly wind energy and solar energy. The future energy will be renewable energy which
will be replacement for the traditional form of the energy which mainly depends on the fossil
fuels which are detrimental to the environment. This paper mainly addresses the analysis of
sustainable energy requirement for the future using artificial intelligence. Various types of
renewable energy such as hydroelectric, wind and solar are taken into consideration for
different seasons. Machine learning-based techniques will be used to preprocess the data
and evaluate it for associations and trends. The total data is divided into two sets training
and testing in the ratio of 80:20. The analysis of AI is done using python programming
language. Finally, various types of machine learning techniques are compared for getting
optimal results and tested also for accuracy. This paper can help analyze the renewable
energy demands of future using machine learning and deep learning to deliver insightful
information. |
| first_indexed | 2025-11-14T11:57:57Z |
| format | Article |
| id | intimal-1903 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:57:57Z |
| publishDate | 2023 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-19032025-07-21T09:25:38Z http://eprints.intimal.edu.my/1903/ Analysis of Renewable Energy Demands using AI Karthick, Ramanathan Mohsina, Mirza T Technology (General) TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering Sustainable energy includes all kinds of renewable energy which is obtained through the natural resources of our earth that are infinite or non-exhaustible, which includes mainly wind energy and solar energy. The future energy will be renewable energy which will be replacement for the traditional form of the energy which mainly depends on the fossil fuels which are detrimental to the environment. This paper mainly addresses the analysis of sustainable energy requirement for the future using artificial intelligence. Various types of renewable energy such as hydroelectric, wind and solar are taken into consideration for different seasons. Machine learning-based techniques will be used to preprocess the data and evaluate it for associations and trends. The total data is divided into two sets training and testing in the ratio of 80:20. The analysis of AI is done using python programming language. Finally, various types of machine learning techniques are compared for getting optimal results and tested also for accuracy. This paper can help analyze the renewable energy demands of future using machine learning and deep learning to deliver insightful information. INTI International University 2023-12 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1903/1/joit2023_33r.pdf text en cc_by_4 http://eprints.intimal.edu.my/1903/2/341 Karthick, Ramanathan and Mohsina, Mirza (2023) Analysis of Renewable Energy Demands using AI. Journal of Innovation and Technology, 2023 (33). pp. 1-10. ISSN 2805-5179 http://ipublishing.intimal.edu.my/joint.html |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering Karthick, Ramanathan Mohsina, Mirza Analysis of Renewable Energy Demands using AI |
| title | Analysis of Renewable Energy Demands using AI |
| title_full | Analysis of Renewable Energy Demands using AI |
| title_fullStr | Analysis of Renewable Energy Demands using AI |
| title_full_unstemmed | Analysis of Renewable Energy Demands using AI |
| title_short | Analysis of Renewable Energy Demands using AI |
| title_sort | analysis of renewable energy demands using ai |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering |
| url | http://eprints.intimal.edu.my/1903/ http://eprints.intimal.edu.my/1903/ http://eprints.intimal.edu.my/1903/1/joit2023_33r.pdf http://eprints.intimal.edu.my/1903/2/341 |