CO2 EMISSION PREDICTION USING MACHINE LEARNING
Abstract & Details
Research Area
Computer Application
Keywords
Machine learning
multiple linear regression.
Abstract
The use of fossil fuels is increasing at an alarming rate as a result of the ongoing progress of global industrialization and the development of human society. A rate, which causes severe environmental problems, including the greenhouse effect. Carbon dioxide (CO2) is one of the primary gases that cause the greenhouse effect. There is evidence that, during the last 200 years, the average yearly temperature of the Earth's surface has been rising globally. This essay examines and projects carbon dioxide (CO2) emissions. use the Indian dataset from the years 1995 to 2018. The purpose of this study is also to inform readers of the gravity of the present environmental problems. Multiple linear regression is a statistical method used to predict and analyze data. The year, India's population, and its power consumption are regarded as independent factors, whereas CO2 emissions are the dependent variables. The test result produced by the multiple linear regression model was 96.40%.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | P Jeevanasai | Dayananda Sagar Academy of Technology and Management |
| 2 | Shreedhara N Hegde | Dayananda Sagar Academy of Technology and Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Jeevanasai, P & Hegde, Shreedhara N (2023). CO2 EMISSION PREDICTION USING MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education, 9(4), 1127-1133.
MLA Style
Jeevanasai, P, and Shreedhara N Hegde. "CO2 EMISSION PREDICTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, 2023, pp. 1127-1133.
IEEE Style
P Jeevanasai and Shreedhara N Hegde, "CO2 EMISSION PREDICTION USING MACHINE LEARNING," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, pp. 1127-1133, 2023.
Vancouver Style
Jeevanasai P, Hegde Shreedhara N. CO2 EMISSION PREDICTION USING MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(4):1127-1133.
Harvard Style
Jeevanasai, P & Hegde, Shreedhara N (2023) 'CO2 EMISSION PREDICTION USING MACHINE LEARNING', International Journal of Advance Research and Innovative Ideas In Education, 9(4), pp. 1127-1133.
Chicago Style
Jeevanasai, P and Shreedhara N Hegde. "CO2 EMISSION PREDICTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 1127-1133.
Turabian Style
Jeevanasai, P and Shreedhara N Hegde. "CO2 EMISSION PREDICTION USING MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 1127-1133.
Related Research
Implications of Temporal Trends in Climate and Land Cover on Rangeland Sustainability in Benane ward, Lagdera Sub-County, Kenya
PDF Unavailable
PREDICTABILITY OF CYCLOGENESIS IN THE MOZAMBIQUE CHANNEL USING EIGENVALUES OF METEOROLOGICAL VARIABLES
PDF Unavailable
INFLUENCE OF THE ENSO PHENOMENON ON PRECIPITATION IN THE NORTH-WESTERN PART OF MADAGASCAR
PDF Unavailable
COMPARATIVE STUDY OF TIDAL DYNAMICS ON THE COASTS OF MADAGASCAR
PDF Unavailable