Electric load forecasting: Literature survey and classification of methods-Reference-Cited by-同舟云学术

Electric load forecasting: Literature survey and classification of methods

Published:2002-01 Issue:1 Volume:33 Page:23-34
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Alfares Hesham K.,Nazeeruddin Mohammad

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/00207720110067421

Reference113 articles.

1. Short-Term Load Demand Modeling and Forecasting: A Review

2. Power demand prediction using fuzzy logic

3. Neuro-short-term load forecast of the power system in Kuwait

4. Model for Electric Energy Consumption in Eastern Saudi Arabia

5. ALFARBS, H. K. and NAZEBRUDDIN, M. Regression-based methodology for daily peak load forecasting. Proceedings of the 2nd International Conference on Operations and Quantitative Management. January3-6, Ahmedabad, India. pp.468–471.

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