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The forecast module (ic-fc) is conceived to provide a clear characterization of the most common forecasting data. During the ontology requirement specification process with the InterConnect partners, we noticed that a distinction was needed between point forecasts versus stochastic forecasts, as well as the various ways to express stochastic forecasts. Therefore, the ic-fc module takes into account this distinction. It reuses the ic-data module, which defines time-series and data-points that are important elements of forecasting. It also reuses the ic-topology module, which defines the forecast location (geographical but also topological, for example, the grid segment). The following figure shows the concepts that we designed for defining forecasts.
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***Forecast types:***
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- `ic-fc:StochasticForecast` is the base type for all forecasts that have stochastic or probabilistic data points. This means we place restrictions on the type of data points a stochastic forecast consists of. We have three predefined stochastic forecasts.
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