AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting.

Journal: Frontiers in artificial intelligence
Published Date: May 30, 2025

Abstract

INTRODUCTION: Time series analysis plays a critical role in various applications, including sensor data monitoring, weather forecasting, economic predictions, and network traffic management. While traditional methods primarily focus on modeling time series data at a single temporal scale and achieve notable results, they often overlook dependencies across multiple scales. Furthermore, the intricate structure of multi-scale time series complicates the effective extraction of features at different temporal resolutions.

Authors

  • Shikang Hou
    School of Big Data and Software Engineering, Chongqing University, Chongqing, China.
  • Song Sun
    School of Big Data & Software Engineering, Chongqing University, Chongqing 401331, China.
  • Tao Yin
    Department of Rehabilitation Medicine Center, Affiliated Tai'an Central Hospital, Qingdao University, No. 29, Longtan Road, Taishan District, Tai'an City, 271000, Shandong, China. yintaokfk@163.com.
  • Zhibin Zhang
    Institute of Physical Education and Sport, Shanxi University, Taiyuan, China.
  • Meng Yan
    School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.

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