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Conference Paper
가정 에너지 소비 패턴 분석을 위한 Boosting 기법 활용 방안 연구
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- Issue Date
- 2021-11
- Citation
- 대한전자공학회 학술 대회 (추계) 2021, pp.2557-2560
- Publisher
- 대한전자공학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- Because of COVID 19, nowadays many people stay in the home and consume more energy than past. Moreover, many home are using new electric home appliance such as dishwasher or washer dryer which consumes energy for long time. To reduce energy consumption and use energy more efficiently energy usage pattern should be analyzed. In the paper, we use Boosting algorithm as analysis method. Boosting algorithm is a kind of ensemble machine learning and based on decision tree. We use the feature importance result of Boosting algorithm as correlation between appliances.
- KSP Keywords
- Analysis method, Boosting algorithm, Decision Tree(DT), Ensemble machine learning, Feature Importance, Long Time, Reduce energy consumption, energy usage, home appliances, usage patterns