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Volumn , Issue , 2001, Pages 41-45

System identification for the prediction of the electric energy consumption of a dairy firm

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC LOAD FLOW; ENERGY UTILIZATION; FORECASTING; FREE ENERGY; RELIGIOUS BUILDINGS; SOFT COMPUTING;

EID: 84952771392     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SMCIA.2001.936726     Document Type: Conference Paper
Times cited : (4)

References (14)
  • 3
    • 84943634482 scopus 로고    scopus 로고
    • Linear and neural dynamical models for energy flows prediction in facility systems
    • Springer-London
    • L. Frosini and G. Petrecca, "Linear and neural dynamical models for energy flows prediction in facility systems", in Soft Computing in Industrial Applications, Springer-London, 2000.
    • (2000) Soft Computing in Industrial Applications
    • Frosini, L.1    Petrecca, G.2
  • 5
    • 0030257658 scopus 로고    scopus 로고
    • Identification of the volumetric efficiency of IC engines: Parametric, non-parametric and neural techniques
    • G. De Nicolao, R. Scattolini and C. Siviero, "Identification of the volumetric efficiency of IC engines: parametric, non-parametric and neural techniques", Control Eng. Practice, vol. 4, pp. 1405-1415, 1996.
    • (1996) Control Eng. Practice , vol.4 , pp. 1405-1415
    • De Nicolao, G.1    Scattolini, R.2    Siviero, C.3
  • 8
    • 84957863595 scopus 로고    scopus 로고
    • Drilling performance prediction using general regression neural networks
    • New Orleans, Louisiana, USA, June
    • V. Karri, "Drilling performance prediction using general regression neural networks", in Proc. IEA/AIE, New Orleans, Louisiana, USA, June 2000, pp. 67-72.
    • (2000) Proc. IEA/AIE , pp. 67-72
    • Karri, V.1
  • 9
    • 84957884316 scopus 로고    scopus 로고
    • Identifying significant parameters for Hall-Heroult process using general regression neural networks
    • New Orleans, Louisiana, USA, June
    • F. Frost and V. Karri, "Identifying significant parameters for Hall-Heroult process using general regression neural networks", in Proc. IEA/AIE, New Orleans, Louisiana, USA, June 2000, pp. 73-78.
    • (2000) Proc. IEA/AIE , pp. 73-78
    • Frost, F.1    Karri, V.2
  • 10
    • 84957882320 scopus 로고    scopus 로고
    • Improving peanut maturity prediction using a hybrid artificial neural network and fuzzy inference system
    • New Orleans, Louisiana, USA, June
    • H. L. Silvio, R. W. McClendon and E. W. Tollner, "Improving peanut maturity prediction using a hybrid artificial neural network and fuzzy inference system", in Proc. IEA/AIE, New Orleans, Louisiana, USA, June 2000, pp. 543-548.
    • (2000) Proc. IEA/AIE , pp. 543-548
    • Silvio, H.L.1    McClendon, R.W.2    Tollner, E.W.3
  • 11
    • 84957878358 scopus 로고    scopus 로고
    • Integrating neural network and symbolic inference for predictions in food extrusion process
    • New Orleans, Louisiana, USA, June
    • M. Zhou and J. Paik, "Integrating neural network and symbolic inference for predictions in food extrusion process", in Proc. IEA/AIE, New Orleans, Louisiana, USA, June 2000, pp. 567-572
    • (2000) Proc. IEA/AIE , pp. 567-572
    • Zhou, M.1    Paik, J.2
  • 14
    • 84957877505 scopus 로고    scopus 로고
    • Black-box identification of the electromagnetic torque of induction motors: Polynomial and neural models
    • New Orleans, Louisiana, USA, June
    • L. Frosini and G. Petrecca, "Black-box identification of the electromagnetic torque of induction motors: polynomial and neural models", in Proc. IEA/AIE, New Orleans, Louisiana, USA, June 2000, pp. 741-748.
    • (2000) Proc. IEA/AIE , pp. 741-748
    • Frosini, L.1    Petrecca, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.