The ubiquity of large graphs and surprising challenges of graph processing: extended survey
Graph processing is becoming increasingly prevalent across many application domains. In
spite of this prevalence, there is little research about how graphs are actually used in …
spite of this prevalence, there is little research about how graphs are actually used in …
Deep reinforcement learning for cybersecurity assessment of wind integrated power systems
X Liu, J Ospina, C Konstantinou - IEEE access, 2020 - ieeexplore.ieee.org
The integration of renewable energy sources (RES) is rapidly increasing in electric power
systems (EPS). While the inclusion of intermittent RES coupled with the wide-scale …
systems (EPS). While the inclusion of intermittent RES coupled with the wide-scale …
PowRL: A reinforcement learning framework for robust management of power networks
Power grids, across the world, play an important societal and economical role by providing
uninterrupted, reliable and transient-free power to several industries, businesses and …
uninterrupted, reliable and transient-free power to several industries, businesses and …
A novel graph-based energy management system
R Dai, G Liu, Z Wang, B Kan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The typical five-minute computational latency of current Energy Management Systems
(EMSs) can leave and has left system operators blind to the system state created by events …
(EMSs) can leave and has left system operators blind to the system state created by events …
Graph theory based N-1 transmission contingency selection and its application in security-constrained unit commitment
L Nan, Y Liu, L Wu, T Liu, C He - Journal of Modern Power …, 2020 - ieeexplore.ieee.org
Contingency analysis is an important building block in the stability and reliability analysis of
power grid operations. However, due to the large number of transmission lines, in practice …
power grid operations. However, due to the large number of transmission lines, in practice …
A high-performance energy management system based on evolving graph
As the fast growth and large integration of distributed generation, renewable energy
resource, energy storage system, and load response, the modern power system operation …
resource, energy storage system, and load response, the modern power system operation …
Graph computing based distributed fast decoupled power flow analysis
Power flow analysis plays a fundamental and critical role in the energy management system
(EMS). It is required to well accommodate large and complex power system. To achieve a …
(EMS). It is required to well accommodate large and complex power system. To achieve a …
[PDF][PDF] 基于图计算的能量管理系统实时网络分析应用研发
刘广一, 戴仁昶, 路轶, 刘克文, 王之伟… - 电工技术 …, 2020 - dgjsxb.ces-transaction.com
摘要为满足电网现代化和智能电网对计算性能的要求, 通过分析传统能量管理系统(EMS)
实时网络分析应用的计算性能瓶颈, 提出了结合图数据库和图计算的EMS 实时网络分析应用的 …
实时网络分析应用的计算性能瓶颈, 提出了结合图数据库和图计算的EMS 实时网络分析应用的 …
Graphsurge: Graph analytics on view collections using differential computation
S Sahu, S Salihoglu - Proceedings of the 2021 International Conference …, 2021 - dl.acm.org
This paper presents the design and implementation of a new open-source view-based
graph analytics system called Graphsurge. Graphsurge is designed to support applications …
graph analytics system called Graphsurge. Graphsurge is designed to support applications …
Towards sparse matrix operations: graph database approach for power grid computation
D Li, K Xiao, X Wang, P Guo, Y Chen - Global Energy Interconnection, 2023 - Elsevier
The construction of new power systems presents higher requirements for the Power Internet
of Things (PIoT) technology. The “source-grid-load-storage” architecture of a new power …
of Things (PIoT) technology. The “source-grid-load-storage” architecture of a new power …