Improving the Global Atmosphere and Maintaining Atmospheric Balance by Empowering Power Stations with AI

Xinxin Wu

2025

Abstract

Global climate change constitutes a considerable contemporary challenge confronting humanity. The atmospheric composition is a key factor influencing global climate, and the equilibrium of atmospheric composition is critical to the stability of the Earth's ecosystems. In view of this, this paper innovatively proposes the construction of a Global Atmosphere- Energy Smart Coordination System (GAESCS), which aims to comprehensively cover and monitor the global atmospheric composition in real time, and maintain the atmospheric balance to improve the climate. At present, the central position of electricity in production and life is unshakeable, but there is a contradiction between various types of power generation in terms of efficiency and pollution. Thermal power generation has a high conversion rate but is highly polluting, while wind and hydropower are clean but inefficient and unstable in supply. This system designed for research can accurately calculate the average household power consumption and air composition concentration in each region of the world. This system through intelligently schedules the work of each power station to maximize the advantages of each power plant and minimize atmospheric pollution. GAESCS can also provide new ideas to crack the dilemma of energy production and environmental protection, and help global climate governance and sustainable development.

Paper Citation

in Harvard Style

Wu X. (2025). Improving the Global Atmosphere and Maintaining Atmospheric Balance by Empowering Power Stations with AI. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 175-181. DOI: 10.5220/0014324400004718

in Bibtex Style

@conference{emiti25,
author={Xinxin Wu},
title={Improving the Global Atmosphere and Maintaining Atmospheric Balance by Empowering Power Stations with AI},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={175-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014324400004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Improving the Global Atmosphere and Maintaining Atmospheric Balance by Empowering Power Stations with AI
SN - 978-989-758-792-4
AU - Wu X.
PY - 2025
SP - 175
EP - 181
DO - 10.5220/0014324400004718
PB - SciTePress