ECIS: Energy-Computing Integrated System

Haoming Zhang; Bonan Huang; Min Zhang; Yushuai Li; Tianyi Li; Yan Zhang

doi:10.1049/ein2.70003

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ECIS: Energy-Computing Integrated System

更新时间：2026-03-24

- ECIS: Energy-Computing Integrated System
- Energy Internet Vol. 2, Issue 2, (2025)
- 作者机构：
  
  1. School of Information Science and Engineering, Northeastern University,Shenyang,China
  2. Contribution: Writing - original draft, Investigation
  3. Contribution: Writing - review & editing, Conceptualization
  4. Department of Informatics, University of Oslo,Oslo,Norway
  5. Contribution: Writing - original draft
  6. Department of Computer Science, Aalborg University, Aalborg,Denmark
  7. Contribution: Writing - review & editing, Conceptualization, Supervision
  8. Contribution: Conceptualization
  9. Contribution: Writing - review & editing
- 作者简介：
- 基金信息：
- DOI：10.1049/ein2.70003
  CLC：
- Published：2025
- 稿件说明：
移动端阅览
Haoming Zhang, Bonan Huang, Min Zhang, et al. ECIS: Energy-Computing Integrated System[J]. Energy Internet, 2025, 2(2).
DOI：

Haoming Zhang, Bonan Huang, Min Zhang, et al. ECIS: Energy-Computing Integrated System[J]. Energy Internet, 2025, 2(2). DOI： 10.1049/ein2.70003.

摘要

Abstract

With the growing demand for deep integration between computing power networks (CPNs) and energy systems (ESs)

effective collaboration between these systems has become increasingly crucial. To facilitate such integration

this paper proposes an energy-computing integrated system (ECIS)

which consists of a four-layer framework including a physical layer

a networked digital twin layer

a service layer

and a communication layer—each interdependent and playing a distinct role. The ECIS enables the global dynamic scheduling and optimisation of electric power and computing power resources. We provide a detailed overview of the functions and interactions within the four layers of the ECIS

discussing the potential of ECIS to enhance resource utilisation

support green and low-carbon development

and improve system flexibility. By fostering efficient collaboration between power and computing resources

the proposed four-layer framework of ECIS can significantly improve operational efficiency. Furthermore

we explore potential challenges in implementing ECIS and outline future research directions to address these challenges.

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