Accurate prediction of the future electricity consumption is crucial for production electricity management. Since the storage of electrical energy is very difficult, reliable and accurate prediction of power consumption is important. Different approaches for this purpose were used. In this paper, Grey model (1,1) based on grey system theory has been used for forecasting results. Annual electric...

The difficulty in gas price forecasting has attracted much attention of academic researchers and business practitioners. Various methods have been tried to solve the problem of forecasting gas prices however, all of the existing models of prediction cannot meet practical needs. In this paper, a novel hybrid intelligent framework is developed by applying a systematic integration of GMDH neural n...

ABARE project 1653 Natural gas demand forecasts are used by regulatory bodies when setting transmission and distribution tariffs. Reviews of current forecasting methodology used by gas companies indicate that the current approaches may be inappropriate for forecasting gas demand. The modeling methodology for gas demand forecasting and the implications of the results for the regulation of transm...

Accurately forecasting daily natural gas consumption (NGC) is challenging due to its complex time-varying high-dimensional features. Therefore, this paper proposes a novel hybrid model for NGC consisting of two stages. In Phase I, the parallel local outlier factor-isolation forest-based data preprocessing algorithm applied denoise input and preserve valuable II, convolutional neural network (CN...