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Energy Internet
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ECIS: Energy‐Computing Integrated System

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

ECIS: Energy‐Computing Integrated System

Abstract

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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hybrid
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