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Conference Paper
이상치 진단 방법과 전력 에너지 분석을 위한 딥러닝 모델 적용 연구
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- Issue Date
- 2021-06
- Citation
- 대한전자공학회 학술 대회 (하계) 2021, pp.2126-2128
- Publisher
- 대한전자공학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- To manage energy consumption efficiently, it is necessary to identify the points where energy is lost. In addition, since the range of energy values varies greatly depending on time, measurement equipment, and environmental conditions, various detection techniques should be considered. This paper describes the presence or absence of outliers among the detection items and methods of determining outliers. Furthermore, the results of implementing a recurrent neural network (RNN) using energy demand data among various time series data will be describe.
- KSP Keywords
- Energy demand, Environmental conditions, Measurement equipment, Time series data, demand data, detection techniques, energy consumption, neural network(NN), recurrent neural network(RNN)