Release notes

Version 0.1.0 (2026-06-05)

Extended WindFarmParameters to include an optional turbine_power_curve argument, which allows users to specify a custom power curve for the wind turbine. The turbine_power_curve is expected to be a DataFrame with columns wind_speed and power_curve, where wind_speed represents the wind speed values (in m/s) and power_curve represents the corresponding power output of the turbine at those wind speeds.
The parameters sigma and wakeloss were also added to WindFarmParameters to enable all options of the wind_power_timeseries repository.
The shape parameter was corrected from a string to a float.

Introduces WindFarmParameters more in line with PVParameters and also made the corresponding nodes more consistent.

Added a Building node to the package, which provides sampling routines for building heat demand profiles based on temperature data. A function heat_demand_profile is included to generate the heat demand profile from temperature data downloaded using hindcast data. A function get_met_data is included to handle data retrieval, caching, and storage (using the python metocean_api library) for the meteorological data used in the heat_demand_profile function. This function enables implementation of meteorological data dependent nodes.

Added a PV node to the package, which provides sampling routines for photovoltaic power generation which is more in line with the WindPower node requiring lat-lon coordinates.

Provide sampling routines for C++ and Python for incorporation into EnergyModelsX models.
Utilize the sampling routines for sampling from:
- C++: BioCHP node.
- Python: MultipleBuildingTypes, CSPandPV, and WindPower nodes.
Incorporation of a BioResource for BiOCHP plant.
Individual nodes to be moved after registration.