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Analysis of Electrical Loads in the Urban Railway Station by Big Data Analysis
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빅데이터분석을 통한 도시철도 역사부하 패턴 분석

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Type
Academic journal
Author
Jong-young Park (한국철도기술연구원)
Journal
The Korean Institute of Electrical Engineers The transactions of The Korean Institute of Electrical Engineers Vol.67 No.3 KCI Accredited Journals SCOPUS
Published
2018.3
Pages
460 - 466 (7page)

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Result
Analysis of Electrical Loads in the Urban Railway Station by Big Data Analysis
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Abstract· Keywords

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For the efficient energy consumption in an urban railway station, it is necessary to know the patterns of electrical loads for each usage in detail. The electrical loads in an urban railway station have different characteristics from other normal electrical load, such as the peak load timing during a day. The lighting, HVAC, communication, and commercial loads make up large amount of electrical load for equipment in an urban railway station, and each of them has the unique specificity. These loads for each usage were estimated without measuring device by the polynomial regression method with big data such as total amount of electrical load and weather data. In the simulation with real data, the optimal polynomial regression model was third order polynomial regression model with 9 or 10 independent variables.

Contents

Abstract
1. 서론
2. 도시철도 역사부하 분석
3. 회귀분석을 통한 용도별 부하 추정
4. 결론
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UCI(KEPA) : I410-ECN-0101-2018-560-001815727