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Analyzing vehicle emissions data with GPT-4 for environmental impact #dataanalysis

#2 Analyzing Real-world vehicle emissions data using GPT-4 | by Dhananjay Pawar | Apr, 2024

The content discusses the performance of hybrid vehicles compared to conventional fuel vehicles, focusing on fuel consumption and CO2 emissions. It highlights that hybrids outperform conventional vehicles due to the integration of electric motors with conventional engines, leading to efficiency gains. However, there is a significant difference between official and real-world performance measures for hybrid vehicles, suggesting that current testing methodologies may not accurately capture their efficiency under typical driving conditions. On the other hand, diesel vehicles show a closer alignment between official and real-world figures, indicating that official tests may better reflect their performance. The content emphasizes the variability in gaps in fuel consumption and CO2 emissions, especially for hybrids, suggesting that consumers may experience better performance in practice than what is indicated by official figures. This variability could impact consumer choices, regulatory policies, and manufacturer marketing strategies.

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Source link: https://thevalueofeverything.medium.com/2-analyzing-real-world-vehicle-emissions-data-using-gpt-4-84a029efd207?source=rss——chatgpt-5

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