지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.10
- 수록면
- 1,113 - 1,117 (5page)
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초록· 키워드
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This research focuses on building-information related energy consumption estimation modeling by analyzing domestic electricity energy and water consumption data. We identify the elements of apartment buildings which are related to electricity and water use and demonstrate energy consumption forecast based on the proposed model. To verify the patterns of electricity energy and water consumption in relation with apartment buildings, we collect data for one of the apartment complexes in South Korea. Both weather history data including temperature and relative humidity and building information such as floor number and the gross area of apartment units are selected as Building-Information Factors (BIF) to analyze their effects on energy use in apartment buildings.
In this paper, we cover annual electricity energy and water consumption among major household utilities that is manipulated by BIF. We conduct Multiple Regression Analysis (MRA) and use neural network-based model such as Multiple-Layer Perceptron (MLP) not only to reveal the relation among the elements such as weather information and BIF toward energy and water consumption model but also to estimate electricity energy and water use forecast. By carrying out this research, the relationship among BIF and energy consumption data sets is turned out to be essential information for establishing a Korean Style Apartment Management Information System as well as establishing a real estate policy on housing prices according to the diversification in floor numbers and gross areas of apartment units.
In this paper, we cover annual electricity energy and water consumption among major household utilities that is manipulated by BIF. We conduct Multiple Regression Analysis (MRA) and use neural network-based model such as Multiple-Layer Perceptron (MLP) not only to reveal the relation among the elements such as weather information and BIF toward energy and water consumption model but also to estimate electricity energy and water use forecast. By carrying out this research, the relationship among BIF and energy consumption data sets is turned out to be essential information for establishing a Korean Style Apartment Management Information System as well as establishing a real estate policy on housing prices according to the diversification in floor numbers and gross areas of apartment units.
목차
Abstract
1. INTRODUCTION
2. BUILDING-INFORMATION BASED ENERGY CONSUMPTION
3. BUILDING INFORMATION BASED KNOWLEDGE SYSTEM MODEL
5. CONCLUSIONS
REFERENCES
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