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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
상세정보
- 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.
MARC
008220131s2020 us c eng d■020 ▼a9798492742102
■035 ▼a(MiAaPQ)AAI28264168
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a720
■1001 ▼aXu, Yujie.
■24510▼aUsing Machine Learning to Target Retrofits in Commercial Buildings under Alternative Climate Change Scenarios
■260 ▼a[Sl]▼bCarnegie Mellon University▼c2020
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2020
■300 ▼a216 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-05, Section: B.
■500 ▼aAdvisor: Loftness, Vivian V.
■5021 ▼aThesis (Ph.D.)--Carnegie Mellon University, 2020.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0041.
■650 4▼aArchitectural engineering
■650 4▼aEnergy
■650 4▼aClimate change
■650 4▼aInformation science
■653 ▼aBuilding Retrofits
■653 ▼aCausal forest
■653 ▼aCommercial building
■653 ▼aHeterogeneous Treatment Effect
■690 ▼a0462
■690 ▼a0791
■690 ▼a0404
■690 ▼a0723
■71020▼aCarnegie Mellon University▼bArchitecture.
■7730 ▼tDissertations Abstracts International▼g83-05B.
■773 ▼tDissertation Abstract International
■790 ▼a0041
■791 ▼aPh.D.
■792 ▼a2020
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051171▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
