메뉴 건너뛰기




Volumn 40, Issue 4, 2013, Pages 1061-1068

Machine learning methods to forecast temperature in buildings

Author keywords

Energy efficiency; Forecasting; Machine learning; Time series

Indexed keywords

BUILDING ENERGY CONSUMPTION; IN-BUILDINGS; MACHINE LEARNING METHODS; MACHINE LEARNING TECHNIQUES; OPTIMAL POLICIES;

EID: 84870248566     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.08.030     Document Type: Article
Times cited : (70)

References (25)
  • 1
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • J.C. Dunn A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters Journal of Cybernetics 3 3 1973 32 57
    • (1973) Journal of Cybernetics , vol.3 , Issue.3 , pp. 32-57
    • Dunn, J.C.1
  • 4
    • 79955895735 scopus 로고    scopus 로고
    • Energy 2020: A strategy for competitive, sustainable and secure energy
    • European Commission Brussels
    • European Commission. (2010). Energy 2020: A strategy for competitive, sustainable and secure energy. COM(2010) 2020. Brussels.
    • (2010) COM 2010 , pp. 2020
  • 7
    • 4544353948 scopus 로고    scopus 로고
    • Estimating temperature profiles for short-term load forecasting: Neural networks compared to linear models
    • Hippert, H.; Pedreira, C. (2004). Estimating temperature profiles for short-term load forecasting: Neural networks compared to linear models. IEE Proceedings Generation, Transmission and Distribution, 151 (4) 543-547.
    • (2004) IEE Proceedings Generation, Transmission and Distribution , vol.151 , Issue.4 , pp. 543-547
    • Hippert, H.1    Pedreira, C.2
  • 9
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: A new learning scheme of feedforward networks
    • G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew Extreme learning machine: A new learning scheme of feedforward networks Neurocomputing 70 2006 489 501
    • (2006) Neurocomputing , vol.70 , pp. 489-501
    • Huang, G.-B.1    Zhu, Q.-Y.2    Siew, C.-K.3
  • 14
    • 70350674995 scopus 로고
    • On the shortest spanning subtree of a graph and the traveling salesman problem
    • J.B. Kruskal On the shortest spanning subtree of a graph and the traveling salesman problem Proceedings of the American mathematical society 7 1 1956 48 50
    • (1956) Proceedings of the American Mathematical Society , vol.7 , Issue.1 , pp. 48-50
    • Kruskal, J.B.1
  • 15
    • 0022011031 scopus 로고
    • Input-output parametric models for non-linear systems. Part I: Deterministic non-linear systems
    • I. Lentaritidis, and S. Billings Input-output parametric models for non-linear systems. Part I: Deterministic non-linear systems International Journal of Control 41 1985 303 328
    • (1985) International Journal of Control , vol.41 , pp. 303-328
    • Lentaritidis, I.1    Billings, S.2
  • 16
    • 0022011215 scopus 로고
    • Input-output parametric models for non-linear systems. Part I: Stochastic non-linear systems
    • I. Lentaritidis, and S. Billings Input-output parametric models for non-linear systems. Part I: Stochastic non-linear systems International Journal of Control 41 1985 329 344
    • (1985) International Journal of Control , vol.41 , pp. 329-344
    • Lentaritidis, I.1    Billings, S.2
  • 17
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • L.M.L. Cam, J. Neyman, University of California Press
    • J.B. MacQueen Some methods for classification and analysis of multivariate observations L.M.L. Cam, J. Neyman, Proceedings of the fifth Berkeley symposium on mathematical statistics and probability Vol. 1 1967 University of California Press 281 297
    • (1967) Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability , vol.1 , pp. 281-297
    • MacQueen, J.B.1
  • 19
    • 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
    • A. 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 Computing & Applications 13 1 2004 32 37
    • (2004) Neural Computing & Applications , vol.13 , Issue.1 , pp. 32-37
    • Mechaqrane, A.1    Zouak, M.2
  • 21
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and empirical analysis of ReliefF and RReliefF
    • M. Robnik-Šikonja, and I. Kononenko Theoretical and empirical analysis of ReliefF and RReliefF Machine learning 53 1-2 2003 23 69
    • (2003) Machine Learning , vol.53 , Issue.12 , pp. 23-69
    • Robnik-Šikonja, M.1    Kononenko, I.2
  • 22
    • 84871022501 scopus 로고    scopus 로고
    • TeKton 3D, Procedimientos-Uno, S.L.
    • TeKton 3D, Procedimientos-Uno, S.L. (2011). .
    • (2011)
  • 24
    • 33751055006 scopus 로고    scopus 로고
    • Artificial neural network models for indoor temperature prediction: Investigations in two buildings
    • B. Thomas, and M. Soleimani-Mohseni Artificial neural network models for indoor temperature prediction: Investigations in two buildings Neural Computing & Applications 16 2007 81 89
    • (2007) Neural Computing & Applications , vol.16 , pp. 81-89
    • Thomas, B.1    Soleimani-Mohseni, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.