Initialize the network optimization problem. :param time_horizon: The time horizon :math:`T` to optimize over. :param num_scenarios:

Summary of results. Only works for single period optimization. :rtype: str

Gets all terminals, including those nested within child devices.

Device constraints, to be overriden by subclasses. :rtype: list of cvxpy constraints

Device objective, to be overriden by subclasses. :rtype: cvxpy expression of size :math:`T \times K`

Plot results.

Power consumed (positive value) or produced (negative value) at this terminal.

Price associated with this net.

Network optimization results. :rtype: :class:`Results`

Execute model predictive control. This method executes the model predictive control loop, roughly: .. code:: python for t in time_ste