Step 2: Two Interacting Heat Plumes

Heat pumps are operated under seasonal load as depicted in `general/normed_flow_injection_series.npy` and `general/temperature_injection_series.npy`. The former contains the normalized flow rates of the heat pumps, while the latter contains the corresponding injection temperatures. The prepared data is split into training and test data.

For training data, each datapoint consists of a set of inputs and labels; for test data, the labels are hidden. The summarized min and max values for normalization are contained in `general/normalization_info.yaml`. The order of inputs is specified by `index` in the info-yaml.

During testing, we only evaluate the last four timesteps, i.e., an annually repeating "steady state". For training, users can choose to train with the same data format, i.e., "training_data/"training_inputs_and_labels_steadystate", or use the additional information of 36 prior timesteps since the initial installation of the heat pumps, i.e., "training_data/"training_inputs_and_labels_timeseries", or utilize the simulated end-time velocity fields, which are not available as inputs for testing but during training in training_data/"training_inputs_and_labels_interimvelocities".

For the interim velocities, additional normalization and dataset information are summarized in "general". For more specialized data, please refer to the raw data in doi.org/10.18419/DARUS-5920.