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Volumn 29, Issue 10, 2005, Pages 891-901

Artificial neural networks applications in building energy predictions and a case study for tropical climates

Author keywords

Artificial neural network; Building; Climate; Energy use

Indexed keywords

CLIMATE CHANGE; COMPUTER SIMULATION; ENERGY CONSERVATION; FORECASTING; MATHEMATICAL MODELS; NEURAL NETWORKS; STATISTICAL METHODS;

EID: 24944577137     PISSN: 0363907X     EISSN: None     Source Type: Journal    
DOI: 10.1002/er.1105     Document Type: Article
Times cited : (74)

References (12)
  • 1
    • 0027211515 scopus 로고
    • Application of neural networking models to predict energy use
    • Ansett M, Kreider JF. 1993. Application of neural networking models to predict energy use. ASHRAE Transactions: Research 99 (1):505-517.
    • (1993) ASHRAE Transactions: Research , vol.99 , Issue.1 , pp. 505-517
    • Ansett, M.1    Kreider, J.F.2
  • 2
    • 0034461103 scopus 로고    scopus 로고
    • Development of generalized neural network model to detect faults in building energy performance - Part I
    • Breekweg MRB, Gruber P, Ahmed O. 2000. Development of generalized neural network model to detect faults in building energy performance - part I, part II. ASHRAE Transactions: Research 4372:61-93.
    • (2000) ASHRAE Transactions: Research , vol.4372 , Issue.PART II , pp. 61-93
    • Breekweg, M.R.B.1    Gruber, P.2    Ahmed, O.3
  • 3
    • 0030313672 scopus 로고    scopus 로고
    • Great energy predictor shootout II: A Bayesian nonlinear regression with multiple hyper-parameters
    • SA-96-3-1
    • Chonan Y, Nishida K, Matsumoto T. 1996. Great energy predictor shootout II: a Bayesian nonlinear regression with multiple hyper-parameters. ASHRAE Transactions: Symposia SA-96-3-1:405-411.
    • (1996) ASHRAE Transactions: Symposia , pp. 405-411
    • Chonan, Y.1    Nishida, K.2    Matsumoto, T.3
  • 5
    • 0031368671 scopus 로고    scopus 로고
    • Examples of neural networks used for building system control and energy management
    • BN 97-16-1
    • Curtiss PS. 1996. Examples of neural networks used for building system control and energy management. ASHRAE Transactions: Symposia BN 97-16-1:909-913.
    • (1996) ASHRAE Transactions: Symposia , pp. 909-913
    • Curtiss, P.S.1
  • 7
    • 0030315652 scopus 로고    scopus 로고
    • Predicting hourly building energy use: The great energy predictor shootout II: Measuring retrofit savings - Overview and discussion of results
    • Haberl JS, Thamilseran S. 1996. Predicting hourly building energy use: the great energy predictor shootout II: measuring retrofit savings - overview and discussion of results. ASHRAE Transactions 102 (Pt. 2):419-435.
    • (1996) ASHRAE Transactions , vol.102 , Issue.PART 2 , pp. 419-435
    • Haberl, J.S.1    Thamilseran, S.2
  • 9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.