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Iranian Journal of Electrical and Electronic Engineering، جلد ۸، شماره ۴، صفحات ۳۲۲-۳۲۸
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Application of a New Hybrid Method for Day-Ahead Energy Price Forecasting in Iranian Electricity Market
چکیده انگلیسی مقاله 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.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله محمدحسین جاویدی | m h javidi
azadi square, mashhad, iran


a اسراری | a. asrari
azadi square, mashhad, iran
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-533-1&slc_lang=en&sid=en
فایل مقاله دریافت فایل مقاله
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده 1-Market Deregulation
نوع مقاله منتشر شده Research Paper
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