Using Machine Learning to Target Retrofits in Commercial Buildings under Alternative Climate Change Scenarios
Using Machine Learning to Target Retrofits in Commercial Buildings under Alternative Climate Change Scenarios
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798492742102
- DDC
- 720
- 저자명
- Xu, Yujie.
- 서명/저자
- Using Machine Learning to Target Retrofits in Commercial Buildings under Alternative Climate Change Scenarios
- 발행사항
- [Sl] : Carnegie Mellon University, 2020
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2020
- 형태사항
- 216 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
- 주기사항
- Advisor: Loftness, Vivian V.
- 학위논문주기
- Thesis (Ph.D.)--Carnegie Mellon University, 2020.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Energy
- 일반주제명
- Climate change
- 일반주제명
- Information science
- 키워드
- Causal forest
- 기타저자
- Carnegie Mellon University Architecture
- 기본자료저록
- Dissertations Abstracts International. 83-05B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
