Information visualization and traffic prediction analysis platform development in electric power communication network

2015 ◽  
Author(s):  
WeiDong Feng ◽  
Yong Sun ◽  
Ran Zhan ◽  
ZhenChao Sun ◽  
Geng Zhang ◽  
...  
Keyword(s):  
Communication Network ◽  
Electric Power ◽  
Information Visualization ◽  
Traffic Prediction ◽  
Prediction Analysis ◽  
Platform Development ◽  
Analysis Platform

Prediction Based on PSO-SVM in Power Communication Network Traffic

2014 ◽  
Vol 602-605 ◽  
pp. 2889-2892
Author(s):  
Zhen Dong Zhao ◽  
Rui Ju Xiao ◽  
Meng Meng Pei ◽  
Yi Zhou
Keyword(s):  
Communication Network ◽  
Electric Power ◽  
Network Traffic ◽  
Prediction Method ◽  
Parameters Optimization ◽  
Traffic Prediction ◽  
Model Parameters ◽  
Economy Running ◽  
Important Basis

Power communication network traffic prediction is important basis of safely assigning and economically running. The forecasting precision will directly affect the reliability, economy running and supplying power quality of power system. Paper first expounds the electric power communication network traffic prediction research present situation, summarized the characteristics of the forecast and the influencing factors, summarizes the commonly used method, is put forward to the return of the electric power communication network traffic based on libsvm prediction method, and the PSO (particle swarm optimization) algorithm is adopted to model parameters optimization, with the test set error as the decision, based on the optimization of model parameters, choice, makes the prediction precision is improved.

Traffic Prediction Based on Grey Model Optimized by Buffer Operator and PSO in Communication Network for Electric Power

2013 ◽  
Vol 397-400 ◽  
pp. 1994-1998
Author(s):  
Run Ze Wu ◽  
Ying He ◽  
Liang Rui Tang
Keyword(s):  
Communication Network ◽  
Prediction Model ◽  
Electric Power ◽  
Fitness Function ◽  
Prediction Method ◽  
Grey Model ◽  
Traffic Prediction ◽  
Prediction Result ◽  
Correlation Degree ◽  
Improved Model

To meet the requirements of planning and to improve accuracy and stability of traffic prediction model in the communication network for electric power, a traffic prediction method based on grey model optimized by buffer operator and particle swarm optimization (PSO) is proposed in this paper. Variable weights buffer operators are implemented for preprocessing traffic data to enhance the adaptability of gray prediction model. Taking the maximum grey correlation degree between prediction series and true series as objective function, based on the search ability of PSO, the fitness function is founded, which can determine the optimal parameters of gray model. Applying the improved model to traffic prediction in communication network for electric power, a new prediction result is drawn. The prediction result shows that the improved model has higher prediction accuracy compared with the traditional GM (1, N) model.

scholarly journals A Packet Scheduling Method Based on Dynamic Adjustment of Service Priority for Electric Power Wireless Communication Network

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Bo Hu ◽  
Xin Liu ◽  
Jinghong Zhao ◽  
Siya Xu ◽  
Zhenjiang Lei ◽  
...  
Keyword(s):  
Communication Network ◽  
Electric Power ◽  
Real Time ◽  
Resource Utilization ◽  
Packet Scheduling ◽  
Dynamic Adjustment ◽  
Communication Services ◽  
Network Bandwidth ◽  
Scheduling Method ◽  
Service Priority

With the development of the energy Internet, power communication services are heterogeneous, and different power communication services have different business priorities. The power communication services with different priorities have different requirements for network bandwidth and real-time performance. For traditional unified service, a scheduling method cannot meet these service requirements at the same time, and electric power communication network cannot guarantee the quality of service. Therefore, how to make full use of the time-varying characteristics of communication resources to meet the business needs of different priorities and achieve the goals of high resource utilization and transmission quality has become one of the urgent problems in the power communication network. For this reason, in order to adapt to the real-time congestion of the network, we have designed a packet scheduling method based on the dynamic adjustment of service priority, which dynamically adjusts the priority of the power service on the node; in addition, an evaluation method for the trust value of wireless forwarding nodes is introduced to improve the security of data transmission; and finally, we valuate the channel quality to establish a reasonable and efficient packet scheduling mechanism for services of different priorities. Simulation results show that this method improves the communication performance of high-priority services and improves the spectrum resource utilization of the entire system.

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