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A novel energy consumption forecasting model combining an optimized DGM (1, 1) model with interval grey numbers
Since energy consumption (EC) is becoming an important issue for sustainable development in the world, it has a practical significance to predict EC effectively. However, there are two main uncertainty factors affecting ...
Data-based structure selection for unified discrete grey prediction model
Grey models have been reported to be promising for time series prediction with small samples, but the diversity kinds of model structures and modelling assumptions restrains their further applications and developments. In ...
Forecasting the multifactorial interval grey number sequences using grey relational model and GM (1, N) model based on effective information transformation
In the context of data eruption, the data often shows a short-term pattern and changes rapidly which makes it difficult to use a single real value to express. For this kind of small-sample and interval data, how to analyze ...