عنوان ترجمه فایل فارسی: پیش بینی نرخ بازار برق، مبنی بر تکنیک های نزدیک ترین همسایه ارزیابی شده.
عنوان نسخه انگلیسی: Electricity Market Price Forecasting Based on Weighted Nearest Neighbors Techniques
مرتبط با رشته های : برق و الکترونیک
تعداد صفحات مقاله فارسی: ۲۱ صفحه
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قسمتی از متن انگلیسی:
The Spanish electricity market, started in
1998, relies basically on a pool where energy is traded through an
auction process [15] (bilateral transactions, although possible, are
still negligible). Generators, retailers and consumers submit hourly
bids the day before to the market operator, containing at least the
price assigned to each block of energy (more complex bids are possible).
Then the resulting marginal price is used every hour to
charge/remunerate all agents buying/selling energy, irrespective of
their original bids. In an ideal market, submitted bids should reflect
actual variable costs, but the Spanish market is still far from this
perfect competitive environment, as over 70% of energy is produced by
units belonging to two major generating holdings. In this context, it is
crucial for all agents to have as accurate a prediction as possible of
next-day energy prices in order to develop their optimal bidding
strategies
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