The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Analysis of Electrical Loads in the Urban Railway Station by Big Data Analysis

빅데이터분석을 통한 도시철도 역사부하 패턴 분석

  • Park, Jong-young (Smart Electrical & Signaling Division, Korea Railroad Research Institute)
  • Received : 2018.01.22
  • Accepted : 2018.02.05
  • Published : 2018.03.01
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Abstract

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.

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References

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