Forecast of heat demand according the Box-Jenkins methodology for specific locality

International Conference on Systems - Proceedings

Volumn 1, Issue , 2010, Pages 252-256

  Chramcov, Bronislav ^a  

^a TOMAS BATA UNIVERSITY IN ZLIN   (Czech Republic)

Author keywords

Box Jenkins; Control algorithms; District heating control; Prediction; Time series analysis

Indexed keywords

BOX-JENKINS; BOX-JENKINS METHODOLOGY; CONTROL LEVEL; ECONOMIC CONSIDERATIONS; ENERGY COMPANIES; FORECAST MODEL; HEAT DEMAND PREDICTION; HEAT DEMANDS; HEAT PRODUCTION; INDEPENDENT COMPONENTS; LONG TERM PLANNING; OPTIMIZATION ROUTINE; OUTDOOR TEMPERATURE; SOCIAL COMPONENTS; TIME DEPENDENCE;

ALGORITHMS; HEATING; TIME SERIES; TIME SERIES ANALYSIS; ZONING;

FORECASTING;

EID: 79958763451     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. ARVASTSON, Lars. Stochastic modelling and operational optimization in district-heating systems. Lund, 2001. 240 s. Doctoral thesis. Lund University, Centre for Mathematical Sciences. ISBN 91-628- 4855-0.
2. BALATE, Jaroslav. Design of Automated Control System of Centralized Heat Supply. Brno, 1982. Thesis of DrSc (Doctor of Science) Work. TU Brno, Faculty of Mechanical Engineering.
3. BOX, George E; JENKINS, Gwilym M. Time series analysis : forecasting and control. Rev. ed. San Francisco : Holden-Day, 1976. 575 s. ISBN 0-8162- 1104-3.
4. DOSTÁL, Petr. Machine Processing of Daily Diagram Course Prediction of Loading the Centralized Heat Supply System, Brno, 1986. Doctoral thesis. TU Brno, Faculty of Mechanical Engineering.
5. DOTZAUER, Erik. Simple model for prediction of loads in district-heating systems. Applied Energy. November-December 2002, Volume 73, Issues 3-4, s. 277-284. ISSN 0306-2619. (Pubitemid 36049241)
6. HIPPERT, H.S.; PEDREIRA, C.E.; SOUZA, R.C. Neural networks for short-term load forecasting : a review and evaluation. IEEE Transactions on Power Systems. February 2001, Volume 16, Issue 1, s. 45-55. ISSN 0885-8950.
7. LEHTORANTA, O., SEPPÄLÄ, J., KOIVISTO, H., KOIVO, H. Adaptive district heat load forecasting using neural networks. Proceedings of Third international Symposium on Soft Computing for Industry, Maui, USA, June, 2000.