Abstract
Some of the decision and control functions discussed in this book require knowledge of future load behavior. In unit commitment, for example, hourly system loads for the next 24–72 hours are required. Some unit commitment programs even require knowledge of future loads for the next week, i.e., 168 hours. At the other extreme, although present forms of AGC do not utilize any forms of forecasting, some convincing research has shown that knowledge of load trends in the next few minutes can help in designing better AGC control strategies. In security assessment, future knowledge of all bus loads for the next 1–24 hours can be used to check for those periods of potential system vulnerability and to plan maintenance outages for lines, transformers, and generators. Table 9.1 provides a summary of existing and potential uses of short-term load forecasting.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
G. E. P. Box and G. M. Jenkins, Time Series Analysis: Forecasting and Control, Holden-Day, Oakland, California, 1976.
F. D. Galiana, “Short-Term Load Forecasting,” Proc. Engineering Foundation Conference: Systems Engineering for Power, held in Henniker, N. H., 1975, pp. 105-115.
A. Keyhani and A. El-Abiad, “One-Step-Ahead Load Forecasting for On-Line Applications,” IEEE Transactions on Power Apparaturs and Systems, Vol. PAS-94, No. 4, July/Aug., 1975, (Abstract). Full paper in IEEE Publication C75 027-8, 1974.
S. Vemuri, W. L. Huag, and D. J. Nelson, “On-Line Algorithms for Forecasting Hourly Loads of an Electric Utility,” IEEE Transactions on Power Apparatus and Systems, Vol. PAS-100, Aug., 1981.
P. C. Gupta and K. Yamada, “Adaptive Short Term Forecasting of Hourly Loads Using Weather Information,” IEEE Transactions on Power Apparatus and Systems, Vol. PAS-91, Sept. 1972, pp. 2085–2094.
E. D. Farmer and M. J. Patton, “Developing of On-Line Prediction Technique with Results from Trials in the Southwest Region of the CEGB,” Proc, IEE Vol. 115, No. 10, October, 1968.
R. K. Mehra, “On the Identification of Variances and Adaptive Kalman Filtering,” IEEE Transactions on Automatic Control, Vol. AC-15, pp. 175–184, April 1970.
F. C. Schweppe, Uncertain Dynamic Systems, Prentice Hall, 1973.
Forecast Master: Version 2.0 Users Manual, Demand Side Planning Program, Electric Power Research Institute, Palo Alto, California, July 1986.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1988 Kluwer Academic Publishers
About this chapter
Cite this chapter
Debs, A.S. (1988). Short-Term Load Forecasting. In: Modern Power Systems Control and Operation. The Kluwer International Series in Engineering and Computer Science. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1073-0_9
Download citation
DOI: https://doi.org/10.1007/978-1-4613-1073-0_9
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-8414-7
Online ISBN: 978-1-4613-1073-0
eBook Packages: Springer Book Archive