NDLI: High-order adaptive model to forecast regional electricity loads

Content Provider	IEEE Xplore Digital Library
Author	Yao-Hsien Chen Jing-Wei Liu Chin-Hsue Cheng
Copyright Year	2008
Description	Author affiliation: Dept. of Inf. Manage., Nat. Yunlin Univ. of Sci. & Technol., Touliu (Yao-Hsien Chen; Jing-Wei Liu; Chin-Hsue Cheng)
Abstract	Over the past few years, a considerable number of studies have been proposed on load forecasting. This paper aims at proposing a promising model using high-order adaptive fuzzy time-series algorithm to get more efficient forecasting. From the reviewed literature related to fuzzy time-series, there are two points need to be concerned. The first is to determine a reasonable universe of discourse and the length of intervals, and the second is many researchers ignore the information of trend patterns change in the past history. Hence, this paper utilized the trend weighted and high order adaptive model to deal with above drawbacks. The proposed model is applied for forecasting the regional electricity load in Taiwan. The experiment results showed that the proposed model outperforms the listing methods under MAPE (mean absolute percentage error) criteria.
Starting Page	3277
Ending Page	3282
File Size	476257
Page Count	6
File Format	PDF
ISBN	9781424420957
DOI	10.1109/ICMLC.2008.4620971
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Load modeling Forecasting Adaptation model Predictive models Load forecasting Biological system modeling Electricity load forecasting Fuzzy time-series adaptive expectation model linguistic variable
Content Type	Text
Resource Type	Article

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