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Volumn , Issue , 2009, Pages

A utilities consumption model for real-time load identification in a brewery

Author keywords

[No Author keywords available]

Indexed keywords

BREWERY OPERATIONS; LOAD IDENTIFICATION; LOAD PROFILES; REFRIGERATION SYSTEM; UTILITIES CONSUMPTION;

EID: 67650320618     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2009.4939642     Document Type: Conference Paper
Times cited : (8)

References (9)
  • 2
    • 67650294859 scopus 로고    scopus 로고
    • Down to a water usage of 2.2 to 1
    • October
    • R. Putman, "Down to a water usage of 2.2 to 1," The BREWER&DISTILLER, vol. 2, no. 10, pp. 18-22, October 2006.
    • (2006) The BREWER&DISTILLER , vol.2 , Issue.10 , pp. 18-22
    • Putman, R.1
  • 4
    • 0032043176 scopus 로고    scopus 로고
    • A real time short-term peak and average load forecasting system using a self-organising fuzzy neural network
    • P. Dash, H. Satpathy, and A. Liew, "A real time short-term peak and average load forecasting system using a self-organising fuzzy neural network," Engineering Applications of Artificial Intelligence, vol. 11, pp.307-316, 1998.
    • (1998) Engineering Applications of Artificial Intelligence , vol.11 , pp. 307-316
    • Dash, P.1    Satpathy, H.2    Liew, A.3
  • 5
    • 0032131235 scopus 로고    scopus 로고
    • An architectural framework for the construction of hybrid intelligent forecasting sytems: Application for electricity demand prediction
    • N. Lertpalangsunti and C. Chan, "An architectural framework for the construction of hybrid intelligent forecasting sytems: application for electricity demand prediction," Engineering Applications of Artificial Intelligence, vol. 11, pp. 549-565, 1998.
    • (1998) Engineering Applications of Artificial Intelligence , vol.11 , pp. 549-565
    • Lertpalangsunti, N.1    Chan, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.