Prediction of water consumption and affecting factor analysis using Inception-V4 network and enhanced single candidate optimization: a case study
文献类型：期刊论文
| 作者 | Dong, Junlei1,2; Li, Fei4,5; Kou, Jiongchen3; Cao, Zaihui7; Asadi, Mehdi6 |
| 刊名 | APPLIED WATER SCIENCE
 |
| 出版日期 | 2025-12-11 |
| 卷号 | 16期号:1页码:27 |
| 关键词 | Inception-V4 network Enhanced single candidate optimization Water consumption Water resources Forecasting |
| ISSN号 | 2190-5487 |
| DOI | 10.1007/s13201-025-02697-7 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Predicting water usage is a crucial aspect of organization and management of water resources. Developing a highly precise model for forecasting water consumption is significant in enhancing regional water resource management and supporting sustainable growth in the socioeconomic sector. This study investigates the primary elements that influence water consumption. This study examines the water consumption prediction model to enhance the efficiency of selecting its parameters and offers insights for analyzing regional water usage as well as for planning and managing water resources. Utilizing data on water consumption and its influencing factors from 2003 to 2023, it aims to forecast future water usage. This research employs the developed Inception-V4 (IV4) network by Enhanced Single Candidate Optimization (ESCO), for analyzing regional water consumption. The extracted effective factors have been utilized as input samples for the developed model to forecast water consumption over the next 15 years. The findings indicate that the RMSE and the MAE for modeling that have been made using the developed IV4 are 0.0519 and 0.0407 respectively. This result shows superior performance compared to other models in terms of prediction error and trend accuracy. |
| URL标识 | 查看原文 |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001661249400001 |
| 出版者 | SPRINGER HEIDELBERG |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219753]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Li, Fei; Asadi, Mehdi |
| 作者单位 | 1.Henan Polytech, Coll Modern Informat Technol, Zhengzhou 450046, Henan, Peoples R China; 2.Henan Engn Res Ctr Fault Tolerant Server, Zhengzhou 450046, Henan, Peoples R China; 3.Shanghai Wantyoung Educ, Acad Dept, Shanghai 201700, Peoples R China; 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 6.Islamic Univ, Coll Tech Engn, Najaf, Iraq 7.Zhengzhou Univ Aeronaut, Coll Art & Design, Zhengzhou 450015, Henan, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Dong, Junlei,Li, Fei,Kou, Jiongchen,et al. Prediction of water consumption and affecting factor analysis using Inception-V4 network and enhanced single candidate optimization: a case study[J]. APPLIED WATER SCIENCE,2025,16(1):27. |
| APA | Dong, Junlei,Li, Fei,Kou, Jiongchen,Cao, Zaihui,&Asadi, Mehdi.(2025).Prediction of water consumption and affecting factor analysis using Inception-V4 network and enhanced single candidate optimization: a case study.APPLIED WATER SCIENCE,16(1),27. |
| MLA | Dong, Junlei,et al."Prediction of water consumption and affecting factor analysis using Inception-V4 network and enhanced single candidate optimization: a case study".APPLIED WATER SCIENCE 16.1(2025):27. |
入库方式： OAI收割
来源：地理科学与资源研究所
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