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Volumn 38, Issue 6, 2006, Pages 635-640

Estimation of operative temperature in buildings using artificial neural networks

Author keywords

Artificial neural networks; Buildings; Estimation; Identification; Operative temperature

Indexed keywords

ESTIMATION; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR SYSTEMS; THERMAL EFFECTS;

EID: 33645386775     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2005.10.004     Document Type: Article
Times cited : (57)

References (12)
  • 2
    • 2442635310 scopus 로고    scopus 로고
    • Achieving the desired indoor climate
    • Studentlitteratur, Lund, Sweden
    • Nilsson, Per-Erik and the Commtech Group, Achieving the Desired Indoor Climate, Energy Efficiency Aspects of System Design, Studentlitteratur, Lund, Sweden, 2003.
    • (2003) Energy Efficiency Aspects of System Design
    • Nilsson1    Per-Erik2
  • 8
    • 18744378131 scopus 로고    scopus 로고
    • Occupant and building related determinants on the temperature patterns in New Zealand residential buildings
    • Paper no. 49 Auckland, New Zealand
    • A. Pollard, A. Stoecklein, Occupant and building related determinants on the temperature patterns in New Zealand residential buildings, Paper no. 49, IPENZ Conference, Auckland, New Zealand, 1998.
    • (1998) IPENZ Conference
    • Pollard, A.1    Stoecklein, A.2
  • 9
    • 0036983779 scopus 로고    scopus 로고
    • Application of an artificial neural network for modelling the thermal dynamics of a building's space and its heating system
    • M. Gouda, S. Danaher, and C.P. Underwood Application of an artificial neural network for modelling the thermal dynamics of a building's space and its heating system Mathematical and Computer Modelling of Dynamical Systems 8 3 September 2002 333 344
    • (2002) Mathematical and Computer Modelling of Dynamical Systems , vol.8 , Issue.3 , pp. 333-344
    • Gouda, M.1    Danaher, S.2    Underwood, C.P.3
  • 11
    • 2342635095 scopus 로고    scopus 로고
    • A comparison of linear and neural network ARX models applied to a prediction of the indoor temperature of a building
    • M. Mechaqrane, and M. Zouak A comparison of linear and neural network ARX models applied to a prediction of the indoor temperature of a building Neural. Comput. Appl. 13 2004 32 37
    • (2004) Neural. Comput. Appl. , vol.13 , pp. 32-37
    • Mechaqrane, M.1    Zouak, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.