A hybrid economic indices based short-term load forecasting system

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106028

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106028

Title:	A hybrid economic indices based short-term load forecasting system
Authors:	周立德;Lin, Cheng-Ting;Chou, Li-Der;Chen, Yi-Ming;Tseng, Li-Ming
Contributors:	資訊電機學院資訊工程學系
Keywords:	Applied sciences;Business;Business indicator;Economics;Electrical engineering. Electrical power engineering;Electrical power engineering;Electricity;Exact sciences and technology;Forecasting;Indicators;Materials;Mathematical models;Operation. Load control. Reliability;Performance indices;Power networks and lines;Raw materials;Short-term load forecasting;Socio-economic indices;Stock index;Support vector regression
Date:	2014-01-01
Issue Date:	2026-04-23 13:04:33 (UTC+8)
Publisher:	Elsevier Ltd.;Oxford: Elsevier Ltd
Abstract:	摘要： •We propose business indicator and stock index combined load forecasting model.•Taiwan island-wide hourly load demands from 2008 to 2011 are used as a case study.•Leading index based business indicators have better load forecasting performance.•The forecasting accuracy is improved by 30.39% in the economic recession period. The bankruptcy event of Lehman Brothers and the corresponding global economic recession in 2008 and 2009, influenced the electricity load demand patterns for which traditional load forecasting approaches were not able to effectively predict. To overcome this problem, this paper proposes a new hybrid economic indices based short-term load forecasting (HEI-STLF) system. In which business indicators, such as the leading index or the coincide index, each combined with stock index as hybrid economic indices influencing factors for the support vector regression (SVR) model, to respond to the economic dynamics and reduce its impact on forecasting accuracy. The Taiwan island-wide electricity load demands from 2008 to 2011 are used as the case study for performance testing with different combinations of the Taiwan business indicator and the Taiwan Stock Exchange Capitalization-Weighted Stock Index (TAIEX). The results show that the proposed HEI-STLF system with hybrid economic indices of an annualized six-month rate of change of composite leading index and a 90days moving average of TAIEX, achieves the best forecasting performance. Compared to the traditional SVR load forecasting approach, it improves the forecasting accuracy in the best condition by 30.39% in the period when the load demands are affected by the global economic recession. 出版者： Oxford: Elsevier Ltd 出版日期： 2014-01 出處： International journal of electrical power & energy systems, 2014-01, Vol.54, p.293-305 版權： 2013 Elsevier Ltd 版權： 2014 INIST-CNRS 識別號： ISSN: 0142-0615 識別號： EISSN: 1879-3517 識別號： DOI: 10.1016/j.ijepes.2013.07.017 識別號： CODEN: IEPSDC
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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