NDLI: A Practical Model Of Daily Power Load Forecasting Based On Weather Variables

Content Provider	IEEE Xplore Digital Library
Author	Yi Yuri Wen Zhou Hong Jiang
Copyright Year	1988
Description	Author affiliation: Shenyang Institute of Automation Academia Sinica (Yi Yuri Wen)
Abstract	Weather variation has a strong impact on the actual value of the power load. As shown by the statistical analysis, any automatic load forecasting must be modified on-line according to the weather stochastics in each day. In this paper, a basic load model and a weather load model are discussed and a simplified on-line model parameter estimation algorithm is proposed. In the weather load model only the effect of weather variables, such as the temperature has been considered. The results were obtained from a long term observation of the one-day-ahead forecasting on HP-1000 computer and the standard deviation of the error of the one day forecasting is less than 4%. The discribed model has been tested using the 1986's load records obtained from the POWER COMPANY OF NORTHAST, CHINA. The accuracy of forecasting can meet the economic dispatch requirement and is comparable to the results obtained from the experienced operators.
Starting Page	310
Ending Page	313
File Size	282386
Page Count	4
File Format	PDF
ISBN	7800030393
DOI	10.1109/ICSMC.1988.754302
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1988-08-08
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Load forecasting Weather forecasting Filters Load modeling Temperature Power system modeling Smoothing methods Covariance matrix Equations
Content Type	Text
Resource Type	Article

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