Engineering evolving complex network systems through structure intervention
Engineering evolving complex network systems through structure intervention
批准号:
DP170102303
负责人:
Prof Mahdi Jalili
金额:
$21.04万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2017
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2017-01-01 至 2020-12-31
中文摘要
该项目旨在创造一种通过结构干预来设计复杂网络系统(CS)的理论和技术。复杂网络系统具有不断演化的成分,在自然界和社会中无处不在。生物网络、互联网和大规模电力网络的科学需要工具来理解和影响它们的演变动态。该项目可能导致网络科学和技术方面的突破性理论,以增强生物系统和电网。预期的好处包括以符合成本效益的方式扩大注入可再生能源的电网,以及推进基础生物学研究。
英文摘要
This project aims to create a theory and technology for engineering complex network systems (CSS) through structural intervention. Complex network systems with evolving components are ubiquitous in nature and society. The science of biological networks, the Internet and large-scale power networks demand tools to understand and influence their evolving dynamics. This project could result in a breakthrough theory in network science and technology to augment biological systems and power grids. Expected benefits include cost-effective augmentation of power networks injected with renewable energy sources, and advancing basic biology research.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Explainable machine learning for electrification of everything
-
批准号:LP230100439
-
项目类别:Linkage Projects
-
资助金额:$34.81万
-
财政年份:2024
-
负责人:Prof Mahdi Jalili
-
依托单位:
Integration of electric vehicles into the grid: A net-zero carbon future
-
批准号:IM240100042
-
项目类别:Mid-Career Industry Fellowships
-
资助金额:$75.09万
-
财政年份:2024
-
负责人:Prof Mahdi Jalili
-
依托单位:
Congestion control in complex networks with higher-order interactions
-
批准号:DP240100963
-
项目类别:Discovery Projects
-
资助金额:$35.3万
-
财政年份:2024
-
负责人:Prof Mahdi Jalili
-
依托单位:
Dynamic Deep Learning for Electricity Demand Forecasting
-
批准号:LP180101309
-
项目类别:Linkage Projects
-
资助金额:$22.74万
-
财政年份:2020
-
负责人:Prof Mahdi Jalili
-
依托单位:
Inference, control and protection of interdependent spatial networked structures
-
批准号:DE140100620
-
项目类别:Discovery Early Career Researcher Award
-
资助金额:$27.63万
-
财政年份:2014
-
负责人:Prof Mahdi Jalili
-
依托单位:
海外基金