Forecasting the power consumption of mines on the basis of stochastic time-series models
About authors
- 1 — Saint Petersburg State Mining Institute (Technical University)
- 2 — Saint Petersburg State Mining Institute (Technical University)
Abstract
The paper is devoted to building up time series models to forecast the power consumption of a mine. The results discussed are obtained using various linear filter models and artificial neural network. The wavelet transform of the raw time series is shown to be an efficient technique to increase the forecasting accuracy.
References
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- Галушкин А.И. Теория нейронный сетей.: Учеб. пособие для вузов / ИПРЖР. М., 2000. Кн.1. 416 с.
- Новиков Л.В. Основы вейвлет-анализа сигналов: Учебное пособие. СПб.: Изд-во ИАнП РАН, 1999. 152 с.
- Шумилова Г.П. Прогнозирование нагрузки ЭЭС на базе новых информационных технологий / Г.П.Шумилова, Н.Э.Готман, Т.Б.Старцева. Екатеринбург: Изд-во УрО РАН, 2002. 25 с.
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