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Editorial for FGCS special issue: Computation Intelligence for Energy Internet
Future Generation Computer Systems ( IF 6.2 ) Pub Date : 2020-09-08 , DOI: 10.1016/j.future.2020.09.012
Yan Zhang , Kun Wang , Lei He

Energy Internet is a radically new power generation and usage paradigm to tackle the energy crisis and carbon emission, developing a revolutionary vision of smart grid. Crucial aspects of smart energy system to be operated and maintained are the intelligent cooperation of computation and communication.

In this direction, to create a complex and intelligent energy system, it is necessary to design and develop ubiquitous and pervasive solutions within this environment such as sensing intelligence, communications intelligence, machine learning, deep learning, data mining, etc.

The papers of this special issue address a variety of issues and concerns in the Energy Internet research theme, including applications to the wind power forecasting, fog computing techniques, energy IoT solutions, edge computing for green energy, real-time monitoring and communicating for software-defined Energy Internet, energy scheduling and task allocation, data storage security, multi-objective optimization, etc.



中文翻译:

FGCS特刊社论:能源互联网的计算智能

能源互联网是解决能源危机和碳排放的全新发电和使用模式,发展了智能电网的革命性愿景。智慧能源系统运行和维护的关键是计算和通信的智能配合。

朝着这个方向,要创建一个复杂的智能能源系统,需要在这个环境下设计和开发无处不在、普遍存在的解决方案,如传感智能、通信智能、机器学习、深度学习、数据挖掘等。

本期特刊的论文解决了能源互联网研究主题中的各种问题和关注点,包括风电预测的应用、雾计算技术、能源物联网解决方案、绿色能源边缘计算、软件实时监控和通信-定义能源互联网、能源调度与任务分配、数据存储安全、多目标优化等。

更新日期:2020-09-08
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