@inproceedings{ac95ca50ef514121a83c5503213551ff,
title = "Online prediction of electrical load for distributed management of PEV based on Grey-Markov model",
abstract = "In order to improve the prediction accuracy of distributed management of Plug-in Electric Vehicles (PEV) to the change of the future electrical load, we proposed an improved algorithm which based on Grey-Markov model. This method makes full use of the advantages of grey model and Markov chain model, where, the grey model is used to reveal the total trend and principle of object change while the Markov chain model is used to indicate the objective random fluctuation and then determine the disturbance rule. The prediction model can be established according to the real value which obtained by distributed management system, then comparison of the model predictions with the improved and traditional prediction algorithms. the results show that improved algorithm is better than traditional prediction algorithm.",
keywords = "Cluster, Electrical Load, Grey Model, Grey-Markov Model, Markov Chain Model, PEV",
author = "Yang Zhou and Bojin Qi and Boyan Zhang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 29th Chinese Control and Decision Conference, CCDC 2017 ; Conference date: 28-05-2017 Through 30-05-2017",
year = "2017",
month = jul,
day = "12",
doi = "10.1109/CCDC.2017.7978426",
language = "英语",
series = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6911--6916",
booktitle = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",
address = "美国",
}