جلد 8، شماره 4 - ( 9-1391 )                   جلد 8 شماره 4 صفحات 322-328 | برگشت به فهرست نسخه ها


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Javidi M H, Asrari A. Application of a New Hybrid Method for Day-Ahead Energy Price Forecasting in Iranian Electricity Market. IJEEE. 2012; 8 (4) :322-328
URL: http://ijeee.iust.ac.ir/article-1-491-fa.html
Application of a New Hybrid Method for Day-Ahead Energy Price Forecasting in Iranian Electricity Market. . 1391; 8 (4) :322-328

URL: http://ijeee.iust.ac.ir/article-1-491-fa.html


چکیده:   (2741 مشاهده)
Abstract- In a typical competitive electricity market, a large number of short-term and long-term contracts are set on basis of energy price by an Independent System Operator (ISO). Under such circumstances, accurate electricity price forecasting can play a significant role in improving the more reasonable bidding strategies adopted by the electricity market participants. So, they cannot only raise their profit but also manage the relevant market more efficiently. This conspicuous reason has motivated the researchers to develop the most accurate, though sophisticated, forecasting models to predict the short-term electricity price as precisely as possible. In this article, a new method is suggested to forecast the next day's electricity price of Iranian Electricity Market. The authors have used this hybrid model successfully in their previous publications to predict the electric load data of Ontario Electricity Market [1] and of the Spinning Reserve data of Khorasan Electricity Network [2] respectively.
متن کامل [DOCX 533 kb]   (1096 دریافت)    
نوع مطالعه: Research Paper | موضوع مقاله: 1-Market Deregulation
دریافت: ۱۳۹۰/۱۱/۳۰ | پذیرش: ۱۳۹۱/۱۰/۶ | انتشار: ۱۳۹۲/۱۰/۹

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