Low carbon energy industry and network economy prediction based on sensors and real-time data processing

Zhao, Zhujun (2024) Low carbon energy industry and network economy prediction based on sensors and real-time data processing. EAI Endorsed Transactions on Energy Web.

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Abstract

The widespread use of sensors provides a large amount of real-time data for enterprises and decision-makers, providing more accurate information support for the prediction and decision-making of the network economy. With the help of Internet of Things technology, the data collected by sensors is tra

Item Type: Article
Date Deposited: 04 Mar 2026 18:13
Last Modified: 11 Apr 2026 00:20
URI: http://eprints.eai.eu/id/eprint/51645

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