A device may receive a power demand for a load and a weather forecast for a time period. The device may determine a first supply of power available from a photo-voltaic (PV) installation for the time period based on the weather forecast. The device may determine a power deficit for the time period based on the power demand and the first supply of power. The device may determine a first cost associated with utilizing a second supply of power available from a battery and a second cost associated with utilizing a third supply of power available from an engine for the time period. The device may determine a power source to overcome the power deficit based on the first cost and the second cost and may cause the PV installation and the power source to supply power to satisfy the power demand for the load.

Some embodiments include electric power demand stabilization methods and systems that may include receiving an indication that a specific controllable device will have a high power draw event; retrieving a power draw profile for the specific controllable device that includes at least a maximum power draw and an event duration; identifying a plurality of low priority controllable devices with a combined power draw that is substantially equal to the maximum power draw of the specific controllable device; and turning off the plurality of low priority controllable devices for a time period substantially equal to the event duration.

A powered balancing mobility device that can provide the user the ability to safely navigate expected environments of daily living including the ability to maneuver in confined spaces and to climb curbs, stairs, and other obstacles, and to travel safely and comfortably in vehicles. The mobility device can provide elevated, balanced travel.

The invention concerns a method, device and computer program product for controlling a material separation process as well as to a material separating system. The material separating system comprises units separating desired material from undesired material, units measuring process output variables in the material separation process indicative of the degree of separation between desired and undesired material, a unit estimating the state of the process by applying the measured output variables and external constraints for a prediction time interval on a model of the material separation process, a unit optimising an objective function through maximising the recovery of the desired material in the separation process, which optimising provides at least one set point value for each input variable of the model, and at least one regulating unit regulating the separation process by using the set point value.

A system and method for predicting future disturbance in MPC applications by segregating a transient part and a steady state value associated with the disturbance. A dynamic state space model that includes a variable disturbance prediction module can be utilized for analyzing a dynamic behavior of a physical process associated with a process model. The process model represents a dynamic behavior of the physical process being controlled and the dynamic state space model represents current deviations from the process model and future deviations over a predetermined prediction horizon. A predicted trajectory can be calculated as a response to the initial conditions estimated by a Kalman Filter for the process model extended by a disturbance model. The output of the dynamic state space model utilized for the disturbance prediction can be further provided as an estimated input to a MPC.

An improved tool and technique for performance quality testing of a synthesized controller or a controller-in-development is disclosed. A controller's performance in a test run within a simulation testing environment is quantitatively compared to an optimal performance parameter as defined in a controller performance model. Deviation between these compared results is recorded as an indicator of poor controller performance. Only deviating test results are recorded for review to guide further fine tuning or modifications of controller settings, and to save mass storage space. The controller performance test runs autonomously and may be automatically restarted should any failure within the simulation environment occur.

The invention relates to a predictive maintenance of hoisting equipment (102), particularly cranes. A maintenance center (106) automatically collects diagnostic data relating to least one component of the remote hoisting equipment and optionally sensor data relating the operational environment of the remote hoisting equipment (102). The maintenance center (106) has an access to configuration data of the remote hoisting equipment and the reliability data on the at least one component of the remote hoisting equipment (102). The maintenance center (106) is then able to generate a maintenance plan optimizing the cost of maintenance and reliability of the hoisting equipment over a life cycle of the hoisting equipment.

A high current contact is disclosed having a contact pin for insertion into the high-current socket having a plurality of contact segments that are slotted in a radial direction for contacting an inner contact surface of the high-current socket; a guide sleeve surrounding the contact pin, which, by means of an at least central front pressing against the high-current socket relative to the contact pin in an axial direction from an initial position, in which the guide sleeve blocks an independent radial spreading of the contact segments in order to avoid a contact between the contacts segments protruding axially from the guide sleeve and the inner contact surface, is movable into a contact position that is set back with respect to the contact pin and in which the guide sleeve unblocks an independent radial spreading of the contact segments protruding from the guide sleeve for contacting the inner contact surface.

A method solves a stochastic quadratic program (StQP) for a convex set with a set of general linear equalities and inequalities by an alternating direction method of multipliers (ADMM). The method determines an optimal solution, or certifies that no solution exists. The method optimizes a step size β for the ADMM. The method is accelerated using a conjugate gradient (CG) method. The StMPC problem is decomposed into two blocks. The first block corresponds to an equality constrained QP, and the second block corresponds to a projection onto the StMPC inequalities and anticipativity constraints. The StMPC problem can be decomposed into a set of time step problems, and then iterated between the time step problems to solve the decoupled problems until convergence.

A method for determining a predictive model of a pressure ratio P1/P2 for a bypass turbomachine of previously defined type including primary and secondary air paths separated by an inter-path compartment, the P1 pressure corresponding to an air pressure inside the inter-path compartment, the P2 pressure corresponding to an air pressure in the secondary air path. The method includes acquiring, on a test turbomachine in operation, at respective measurement times, sets of measurements each including a P1 measurement, a P2 measurement, a measurement M of a Mach number of the test turbomachine, and a PCN12R measurement representing a low pressure rating, obtaining the sets of measurements by a processing device, supervised learning, by the processing device and on the basis of the sets of measurements obtained, of a predictive model of the ratio P1/P2 as a function of the M number and of the PCN12R rating considered as explanatory variables.