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For dealing with public holidays, there are many techniques used in the energy forecasting community.
In energy forecasting this can be regarded as a rare event.
This sets the basis for this paper's overview of energy forecasting models.
Furthermore, consideration of public holidays in energy forecasting yields highly relevant practical benefits.
As highlighted by [6] there are two main modeling streams in energy forecasting.
Examples of data-driven energy forecasting models found in literature are given in [14 16].
Similar(25)
While many energy forecasts end up wrong, on short time scales like this, that's less true.
Many other energy forecasts have painted a far bleaker picture of the oil markets for the next 12 months.
Solar power costs are tumbling so fast the technology is likely to fast outstrip mainstream energy forecasts.
The focus in future is likely to be nuclear energy, forecast to increase tenfold over the next 10 years, and hydroelectric power.
Its share of world primary-energy use is falling from a peak of 30% in 2010, but only to a likely 25% in 2035, according to BP's annual energy forecast.
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