DAY-AHEAD ELECTRICITY PRICE FORECASTING: LITHUANIAN CASE

被引：0
|
作者：
Bobinaite, Viktorija [1 ]
机构：
[1] Lithuanian Energy Inst, Kaunas, Lithuania
来源：
ELECTRICAL AND CONTROL TECHNOLOGIES | 2011年
关键词：
day-ahead electricity price; exponential smoothing; trend; seasonality; forecasting methods; NEURAL-NETWORK; MARKET;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Structural changes in electricity sector have a considerable influence on the behavior of economic agents, who exercise their activity under the new market conditions. Currently agents face new challenges, i.e. they have to find and choose such a bidding strategy the implementation of which could allow to maximize their utility. In this context a reliable forecasting methods and accurate price forecasts are of high importance. Thus, the aim of the paper is to analyze scientific literature on electricity price forecasting methods and to apply selected ones to forecast a day-ahead electricity price in Lithuania.
引用
收藏
页码：169 / 174
页数：6
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