Multi-Objective Optimization for Smart Building Energy and Comfort Management as a Case Study of Smart City Platform

被引：12

作者：

Altayeva, Aigerim ^{[1
]}

Omarov, Batyrkhan ^{[1
]}

Cho, Young Im ^{[1
]}

机构：

[1] Gachon Univ, Dept Comp Engn, Seoul, South Korea

来源：

2017 19TH IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS (HPCC) / 2017 15TH IEEE INTERNATIONAL CONFERENCE ON SMART CITY (SMARTCITY) / 2017 3RD IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (DSS) | 2017年

关键词：

Multi-agent technology; Energy Efficiency; Energy Management; Multi-Objective Optimization; Comfort;

D O I：

10.1109/HPCC-SmartCity-DSS.2017.86

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Current research describes multi-objective optimization for smart building energy and comfort management. There, we consider two research objectives for optimization, energy consumption and user comfort. In the result, we show performance of the proposed model by describing experiment results that conducted using heater, humidifier and air conditioner into the small room.

引用

页码：627 / 628

页数：2

共 6 条

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Omarov, Batyrkhan
Altayeva, Aigerim
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Cho, Young Im
Omarov, Bauyrzhan
[J]. 2017 FIRST IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING (IRC), 2017, : 346 - 351

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