气候变化领域集成服务门户(CCPortal): ISSA-enhanced GRU-Transformer: integrating sports wisdom into the frontier exploration of carbon emission prediction

CCPortal

DOI	10.3389/fevo.2024.1355492
	ISSA-enhanced GRU-Transformer: integrating sports wisdom into the frontier exploration of carbon emission prediction
	Jiang, Wei; Liu, Changjiang; Qu, Qiang; Wang, Zhen; Hu, Liangnan; Xie, Zhaofu; Zhang, Bokun; He, Jingzhou
发表日期	2024
ISSN	2296-701X
起始页码	12
卷号	12
英文摘要	Introduction Carbon neutrality has become a key strategy to combat global climate change. However, current methods for predicting carbon emissions are limited and require the development of more effective strategies to meet this challenge. This is especially true in the field of sports and competitions, where the energy intensity of major events and activities means that time series data is crucial for predicting related carbon emissions, as it can detail the emission patterns over a period of time.Method In this study, we introduce an artificial intelligence-based method aimed at improving the accuracy and reliability of carbon emission predictions. Specifically, our model integrates an Improved Mahjong Search Algorithm (ISSA) and GRU-Transformer technology, designed to efficiently process and analyze the complex time series data generated by sporting events. These technological components help to capture and parse carbon emission data more accurately.Results Experimental results have demonstrated the efficiency of our model, which underwent a comprehensive evaluation involving multiple datasets and was benchmarked against competing models. Our model outperformed others across various performance metrics, including lower RMSE and MAE values and higher R2 scores. This underscores the significant potential of our model in enhancing the accuracy of carbon emission predictions.Discussion By introducing this new AI-based method for predicting carbon emissions, this study not only provides more accurate data support for optimizing and implementing carbon neutrality measures in the sports field but also improves the accuracy of time series data predictions. This enables a deeper understanding of carbon emission trends associated with sports activities. It contributes to the development of more effective mitigation strategies, making a significant contribution to global efforts to reduce carbon emissions.
英文关键词	sustainable development; carbon neutrality; time-series data; ISSA; GRU-transformer
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Ecology
WOS记录号	WOS:001194502400001
来源期刊	FRONTIERS IN ECOLOGY AND EVOLUTION
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/299765
作者单位	Xi'an Jiaotong University
推荐引用方式 GB/T 7714	Jiang, Wei,Liu, Changjiang,Qu, Qiang,et al. ISSA-enhanced GRU-Transformer: integrating sports wisdom into the frontier exploration of carbon emission prediction[J],2024,12.
APA	Jiang, Wei.,Liu, Changjiang.,Qu, Qiang.,Wang, Zhen.,Hu, Liangnan.,...&He, Jingzhou.(2024).ISSA-enhanced GRU-Transformer: integrating sports wisdom into the frontier exploration of carbon emission prediction.FRONTIERS IN ECOLOGY AND EVOLUTION,12.
MLA	Jiang, Wei,et al."ISSA-enhanced GRU-Transformer: integrating sports wisdom into the frontier exploration of carbon emission prediction".FRONTIERS IN ECOLOGY AND EVOLUTION 12(2024).