NDLI: Forecasting electricity consumption by separating the periodic variable and decompositions the pattern

Content Provider	IEEE Xplore Digital Library
Author	Ghaderi, S.F. Azadeh, A. Keyno, H.S.
Copyright Year	2007
Description	Author affiliation: Univ. of Tehran, Tehran (Ghaderi, S.F.)
Abstract	Electricity consumption pattern has been affected by some socio-economic and environment factors like consumers and environmental fluctuations. Due such parameters electricity consumption pattern will demonstrate various seasonal, monthly, daily and hourly variations. With this type of diversity, it is difficult to find the appropriate model to estimate. In this article it is attempted to decompose the pattern by clustering primary date and eliminating the periodic variance. The complicated pattern is changed to a set of simple patterns which easily could be used in point of view of macro decision making to determine the parameters affected on consumption pattern and forecast detailed executing consumption that is mainly used by middle management and technical engineers. Improved results with descriptive estimation for any part of consumption pattern are concluded in any time intervals.
Starting Page	292
Ending Page	296
File Size	411666
Page Count	5
File Format	PDF
ISBN	9781424415281
DOI	10.1109/IEEM.2007.4419198
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-02
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Decision making Weather forecasting Electricity consumption forecasting Power generation economics macro decision Environmental economics micro decision Load forecasting Economic forecasting Econometrics Energy management Power engineering and energy
Content Type	Text
Resource Type	Article

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