The Model of Intelligent Autonomous Hybrid Renewable Energy System Based on Bayesian Network

被引：0

作者：

Arseniev, D. G. ^{[1
]}

Shkodyrev, V. P. ^{[1
]}

Yarotsky, V. A. ^{[1
]}

Yagafarov, K. I. ^{[1
]}

机构：

[1] Peter The Great St Petersburg Polytech Univ, St Petersburg, Russia

来源：

2016 IEEE 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS (IS) | 2016年

关键词：

Renewable energy sources (RES); Autonomous Hybrid Renewable Energy System (HRES); Bayesian Belief Network (BBN);

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is devoted to the management of Autonomous Hybrid Renewable Energy Systems. The structure of such applications depends to a great extent on a large number of random factors and needs an intelligent approach to cope with them. The way of implementation of Bayesian Belief Networks, which help to solve the given problem, is described in the article.

引用

页码：758 / 763

页数：6

共 8 条

[1]

[Anonymous], 2014, GASIFICATION RUSSIAN

[2]

Bashar A., IEEE NAT C COMM NCC, P1

[3] Bayesian networks in renewable energy systems: A bibliographical survey [J].

Borunda, Monica ;

Jaramillo, O. A. ;

Reyes, Alberto ;

Ibarguengoytia, Pablo H. .

RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 62 :32-45

[4]

Fortov V. E., 2014, WORLD RUSSIA RENEWAB

[5]

Murphy K., 1998, BRIEF INTRO GRAPHICA

[6]

Renewables, 2015, GLOBAL STATUS REPORT, P27

[7]

Russell SJ., 2009, ARTIF INTELL

[8]

Shipworth D., 2006, BAYESIAN NETWORK MOD

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