Citation

Ng, Yee Hao and Leow, Meng Chew and Yeoh, Chun Yeow (2024) Data analysis on how the renewable energy mitigate climate change. In: 3rd International Conference on Computer, Information Technology, and Intelligent Computing (CITIC2023), 26–28 July 2023, Virtual Conference.

Full text not available from this repository.

Abstract

Climate change is getting more attention in recent years as it is bringing more devastating natural disasters such as heat waves, drought and floods around the world. Human activities such as the burning of fossil fuels, which produce heat-trapping gases, are the main driver of climate change. The enormous amount of greenhouse gases that are released into the atmosphere accelerates the pace of global warming. On the other hand, renewable energy is usually clean and sustainable. Thus, turning down the role of fossil fuel in the energy sector should be a priority and facilitating the use of renewable energy is the best solution to mitigate climate change. To have a clear picture on the current situation, the paper will include a literature review about climate change, greenhouse gases and renewable energy. The methodology, analysis methods and results will be included in the paper. Data collection, pre-processing, data analysis and data visualisation dashboard will be involved during the process. A data analysis dashboard will be created to incorporate the background of the story and the results of the data analysis. The users will be exploring the trends of renewable energy and greenhouse gas emissions with data analysis tools to gain useful insights from the data.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Quantum fluids, Fossil fuels, data analysis
Subjects:	Q Science > QA Mathematics > QA150-272.5 Algebra
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	01 Aug 2024 01:59
Last Modified:	01 Aug 2024 01:59
URII:	http://shdl.mmu.edu.my/id/eprint/12688

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