Scholarlink

This chapter examines how transformers are adapted for sequential data, emphasizing their role in time series forecasting. It covers mathematical modeling; representation techniques; and applications in financial, weather, energy, and healthcare domains. The advantages and limitations of transformers in time series are critically analyzed, with an exploration of hybrid models and scalability.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Time Series Forecasting with Transformers

  • 章节

  • 发表日期：

    2025年

查看全文
  • Pradeep Singh,
  • Balasubramanian Raman

摘要

This chapter examines how transformers are adapted for sequential data, emphasizing their role in time series forecasting. It covers mathematical modeling; representation techniques; and applications in financial, weather, energy, and healthcare domains. The advantages and limitations of transformers in time series are critically analyzed, with an exploration of hybrid models and scalability.