scholarly journals State solutions for distribution systems and switching event using a neural network

2021 ◽  
Author(s):  
Arbel Yaniv ◽  
Avi Lin ◽  
David Raz ◽  
Yuval Beck
Keyword(s):  
Neural Network ◽  
Distribution Systems ◽  
Switching Event

Neural Network-Based Model Design for Short-Term Load Forecast in Distribution Systems

2016 ◽  
Vol 31 (1) ◽  
pp. 72-81 ◽  
Author(s):  
Ni Ding ◽  
Clementine Benoit ◽  
Guillaume Foggia ◽  
Yvon Besanger ◽  
Frederic Wurtz
Keyword(s):  
Neural Network ◽  
Distribution Systems ◽  
Model Design ◽  
Short Term ◽  
Load Forecast

scholarly journals Graph Neural Network for Integrated Water Network Partitioning and Dynamic District Metered Areas

2021 ◽  
Author(s):  
KEZHEN RONG ◽  
Minglei Fu ◽  
JIAWEI CHEN ◽  
LEJIN ZHENG ◽  
JIANFENG ZHENG ◽  
...  
Keyword(s):  
Neural Network ◽  
Distribution Systems ◽  
Water Distribution ◽  
Distribution Networks ◽  
Pollution Monitoring ◽  
Practical Case ◽  
Network Partitioning ◽  
Water Network ◽  
Search Range ◽  
Water Network Partitioning

Abstract Water distribution systems (WDSs) are used to transmit and distribute water resources in cities. Water distribution networks (WDNs) are partitioned into district metered areas (DMAs) by water network partitioning (WNP), which can be used for leak control, pollution monitoring, and pressure optimization in WDS management. In order to overcome the limitations of optimal search range and the decrease of recovery ability caused by two-step WNP and fixed DMAs in previous studies, this study developed a new method combining a graph neural network to realize integrated WNP and dynamic DMAs to optimize WDS management and respond to emergencies. The proposed method was tested in a practical case study; the results showed that good hydraulic performance of the WDN was maintained and that dynamic DMAs demonstrated excellent stability in emergency situations, which proves the effectiveness of the method in WNP.

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