IntertemporalRaoInput class

[bqth29]

Describe the current behavior

No response

Describe the expected behavior

As introduced in #1208 (in this comment), we need a new IntertemporalRaoInput class for intertemporal computations.

This class will at first contain two main attributes:

• a TemporalData<RaoInput> time series with all the inputs for each timestamp
• a Set<PowerGradientConstraint> that contains all the PGCs of the problem
• a set of RaoParameters with an inter-temporal-parameters-extension for specific settings regarding parallel computations on various timestamps (topological actions, sensitivity computations)

as currently done for single-TS RAO inputs, the parameters can be provided outside the RaoInput

• Add TemporalData API #1217 will have to be addressed first so you can use the TemporalData API
• wait for the inter-temporal-parameters-extension (see Add inter-temporal-parameters extension to RAO Parameters #1230) to have been created for another issue, or do not forget to add a RaoParameters to IntertemporalRaoInput's attributes if you tackle this issue first
• as discussed in the aforementioned comment, the individual RaoInputs of the RAO input time series shall only contain a CRAC and a network (GLSKs and reference programs are not required for the intertemporal POC and will be dealt with in future works; and states/perimeters are irrelevant as we currently only focus on preventive optimization)

Describe the motivation

No response

Extra Information

Not mandatory for implementation but start thinking about relevant methods that could be defined for this class and list them in this issue.

First ideas:

• TemporalData<Crac> getCracTemporalData()
• TemporalData<Network> getNetworkTemporalData()
• Set<PowerGradientConstraint> getAllPowerGradientConstraints(String networkElementId)