科研之友
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摘要
The aim of the paper is to present application of artificial neural networks in electric energy prices forecasting on energy market. As an input of the constructed predicator past energy prices and turnover volume, variables describing weather that is temperature, cloudiness, speed of wind and variables describing time and date of transaction were introduced. All the variables were measured for each hour of the trade twenty- four hours. In the next step of study adjustment of the model to the real data was assessed.
- 出版日期2010-2
