Abstract: A system and method is provided for revenue management in multi-modal transportation networks. A corridor is constructed for each origin-destination pair of a transportation network based on one or more parameters. Monotonicity constraints and triangle constraints are generated for each origin-destination pair. An objective function is constructed and convexified using point-price elasticity for consistent price optimization. The one or more parameters and coefficients for a mathematical optimization program are then computed and the mathematical optimization problem is solved for a consistent optimal pricing scheme.

Abstract: A method for allocating energy to a plurality of devices, wherein each device is configured to consume, store and/or supply energy, the method includes the steps of: assigning each device to a group of devices; assigning an aggregation node device to each group of devices; for a selection of devices transmitting local power cost functions of the devices and/or power usage profiles of the devices with respect to a predetermined time slot to the assigned aggregation node device; at the aggregation node device, generating aggregated data as a function of the received local power cost functions and/or power usage profiles; transmitting the aggregated data to a central processing device; at the central processing device, optimizing a global cost function for allocating power to the devices as a function of the aggregated data.

Abstract: A method for allocating energy to a plurality of devices, wherein each device is configured to consume, store and/or supply energy, the method includes the steps of: assigning each device to a group of devices; assigning an aggregation node device to each group of devices; for a selection of devices transmitting local power cost functions of the devices and/or power usage profiles of the devices with respect to a predetermined time slot to the assigned aggregation node device; at the aggregation node device, generating aggregated data as a function of the received local power cost functions and/or power usage profiles; transmitting the aggregated data to a central processing device; at the central processing device, optimizing a global cost function for allocating power to the devices as a function of the aggregated data.