Does Application of Artificial Intelligence Influence Carbon Emissions

Year : 2024 | Volume :01 | Issue : 02 | Page : 45-52
By

    Disha Rai

  1. Omkar Rahangdale

  1. Research Scholar, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai, Maharashtra, India
  2. Research Scholar, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai, Maharashtra, India

Abstract

Due to the Paris Agreement, an increasing number of nations have made commitments and are actively trying to meet the net zero emission objective by the middle of the century. India has committed to a set target for intense carbon peaking by the year 2030, and to take a step towards carbon neutrality and try to reduce the emission by 45 per cent. It also committed to achieving about half (50 percent) of the cumulative electric grid capacity. India is one of the largest developing economies and ranks third among the 10 top carbon-emitting countries, but it does not regularly report emission statistics, making tracking seem to be a difficult task.

Keywords: Artificial intelligence; carbon emission; Transportation, energy conservation, policymakers

[This article belongs to International Journal of Environmental Noise and Pollution Control(ijenpc)]

How to cite this article: Disha Rai, Omkar Rahangdale.Does Application of Artificial Intelligence Influence Carbon Emissions.International Journal of Environmental Noise and Pollution Control.2024; 01(02):45-52.
How to cite this URL: Disha Rai, Omkar Rahangdale , Does Application of Artificial Intelligence Influence Carbon Emissions ijenpc 2024 {cited 2024 Apr 18};01:45-52. Available from: https://journals.stmjournals.com/ijenpc/article=2024/view=143572


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References

1.       Moitra D. India’s software industry. ieee Software. 2001 Jan;18(1):77-80.
2.       Renwick D, Felter C. CFR Backgrounders. US Cuba Relations. 2016 Aug 30:1-5.
3.       Mishra VK, Alapatt BP, Aggarwal A, Khemani D. E‐Commerce Data Analytics Using Web Scraping. Mathematics and Computer Science Volume 1. 2023 Aug 8:425-34.
4.       Gagandeep K, Rishabh M, Vyas S. Artificial Intelligence (AI) Startups in Health Sector in India: Challenges and Regulation in India. InProceedings of the Third International Conference on Information Management and Machine Intelligence: ICIMMI 2021 2022 Aug 4 (pp. 203-215). Singapore: Springer Nature Singapore.
5.       Nahar D, Verma P. Shaping public behavior and green consciousness in India through the ‘Yo! Green’ Carbon Footprint Calculator. Carbon Management. 2018 Mar 4;9(2):127-44.
6.       David D, Gopalan S, Ramachandran S. The startup environment and funding activity in India. In Investment in startups and small business financing 2021 (pp. 193-232).
7.       Purthi A. Artificial Intelligence in Green Accounting. In Applications of Artificial Intelligence in Business and Finance 2021 Dec 22 (pp. 185-202). Apple Academic Press.
8.       Clabeaux R, Carbajales-Dale M, Ladner D, Walker T. Assessing the carbon footprint of a university campus using a life cycle assessment approach. Journal of Cleaner Production. 2020 Nov 10;273:122600.
9.       Bachmann N, Tripathi S, Brunner M, Jodlbauer H. The contribution of data-driven technologies in achieving the sustainable development goals. Sustainability. 2022 Feb 22;14(5):2497.
10.   Ahmed M. Greenhouse gas emissions and climate variability: An overview. Quantification of climate variability, adaptation and mitigation for agricultural sustainability. 2017:1-26.
11.   Mulrow J, Machaj K, Deanes J, Derrible S. The state of carbon footprint calculators: An evaluation of calculator design and user interaction features. Sustainable Production and Consumption. 2019 Apr 1;18:33-40.


Regular Issue Subscription Original Research
Volume 01
Issue 02
Received March 8, 2024
Accepted March 17, 2024
Published April 18, 2024