Much of the relevant literature regarding temporal forecasting and "duration estimation" has dealt with smaller quantities of time (e.g., a day or less).
Figure 1 Temporal forecasts in the Haut-Abanga forest concession, Gabon.
Open image in new window Fig. 2 The zoning spatio-temporal forecast of rockburst danger Table 1 The leveling forecast of rockburst danger Danger degree Danger state Comprehensive index Controlling measures A No <0.25 Managing the mining area normally and conducting the design and mining the same as that without rockburst danger B Weak 0.25 0.5 Providing monitoring and pressure releasing equipment.
Consequently, spatially-temporal forecasts for the district of Niono seem unnecessary in this initial developmental phase.
That is not to say that profitable opportunities do not exist via alternative differential pricing models using temporal demand forecasts (for example [31, 32]), or alternative cloud brokerage models.
Similar methods were used to model the temporal relevance of forecast errors [18, 19, 20, 21].
The temporal dependence of forecast series is crucial for multistage decision-making problems, such as energy storage planning and scheduling.
Ansoff's firm belief was that these discontinuities could be "anticipated by available forecasting techniques" ([17] p. 22) – which is to say, if the firm were able to forecast temporal discontinuities between past and future it would let itself not be surprised by such discontinuities, whereas, indeed, the only thing that can be foreseen is the continuity of discontinuities.
Forecast verification tools and methods are needed to pursue improving the spatial and temporal accuracy of forecasts.
The spatial and temporal teleconnection in forecasting errors is the physical basis of whether the error amending approach could have a significant effect on forecasting accuracy.
This can help capture the fluctuation characteristics in view of the spatial and temporal correlations in forecasting errors, contributing to the error prediction.
