Abstract: An intention detection device 1X includes a preprocessor 21X, a motion pattern/object relation identifier 22X and a detector 23X. The preprocessor 21X is configured to generate preprocessed data associated with a human and a relevant object by processing a detection signal outputted by a sensor. The motion pattern/object relation identifier 22X is configured to identify a motion pattern of the human and a relation between the human and the object based on the preprocessed data. The detector 23X is configured to detect at least one of an activity, a gesture or a predicted step regarding the human based on the identified motion pattern and the identified relation able to integrate and provide lexical descriptions of the at least one of the activity, the gesture or the predicted step.

Abstract: A control device 1B includes a preprocessor 21B, a translator 22B and an intention detector 23B. The preprocessor 21B is configured to generate movement signals of a target human 10C subjected to assistance by processing a detection signal Sd outputted by a first sensor which senses the target human 10C. The translator 21B is configured to identify a gesture of the target human 10C by use of the movement signals Sd, the gesture being expressed by a pose and/or movement of the target human 10C. The intention detector 23B is configured to detect an intention of the target human 10C based on history of an event and the identified gesture, the event relating to the assistance.

Abstract: A data acquisition unit acquires input data and output data of a system to be identified. A memory unit stores initial binary/ternary structure matrices obtained from prior knowledge. A binary/ternary structure matrix generation unit reads the initial binary matrices from the memory unit and generates a plurality of sets of candidate binary matrices. A binary structure matrix selection unit selects one set of binary matrices from the sets of candidate binary matrices. A determination unit determines matrices used in a state equation for the system to be identified and matrices used in an output equation for the system to be identified in response to the selected set of binary matrices. An evaluation unit evaluates whether the determined matrices are reasonable for identifying the system to be identified.

Abstract: A renewable power system according to the exemplary embodiment includes a renewable power plant (121), a controllable plant (123) and an energy management system (128) which keeps an energy schedule within a certain tolerance in the next k (an integer greater than or equal to 1) steps by using a method that includes an optimization algorithm for a total power output shape within a step, and schedule changing algorithm for changing the energy schedule after the next k steps to keep a needed capacity of the plant regarding power and energy small. By keeping the energy schedule within a certain range for a renewable power plant combined with controllable plant, it is possible to keep the needed power and energy capacity of controllable plant small and to guarantee favorable total power output shape.

Abstract: An object of the present invention is to set a demand schedule for performing highly efficient demand-supply adjustment of electric power, to deal with electric power demand.

Abstract: An energy management system includes energy storage, a load, a guide server and a local controller. The energy storage is configured to be charged and discharged, and connected to a grid line, the grid line being supplied with power from an outside power generator. The load is configured to operate with consuming power supplied via the grid line. The guide server is configured to predict conditions of the energy storage, the load and the grid line and to generate a directive corresponding to the prediction, and outputs the generated directive. The local controller is configured to control charging and discharging of the energy storage based on or guided by the directive generated in the guide server.

Abstract: One of the features of the invented method is that it adds to the scenario selection criteria the impact on the control command of the single scenarios. If necessary it takes also into account the performance achieved during single scenario optimization and combines scenario describing space information with single scenario optimization results space information. By using reduced scenarios (subset) an overall optimization procedure based on the subset can be established. If results are not satisfactory from the performance or constraints point of view a new iteration is initiated.

Abstract: A renewable power system according to the exemplary embodiment includes a renewable power plant (121), a controllable plant (123) and an energy management system (128) which keeps an energy schedule within a certain tolerance in the next k (an integer greater than or equal to 1) steps by using a method that includes an optimization algorithm for a total power output shape within a step, and schedule changing algorithm for changing the energy schedule after the next k steps to keep a needed capacity of the plant regarding power and energy small. By keeping the energy schedule within a certain range for a renewable power plant combined with controllable plant, it is possible to keep the needed power and energy capacity of controllable plant small and to guarantee favorable total power output shape.

Abstract: An operation control model generator (100) includes a generator core (101) and an automatic modeling unit (102). The generator core (100) is configured to read metadata representing a configuration of a building to acquire primitives of the building from a building information model, read basic models corresponding to the acquired primitives from a basic operation control model database (140), and send out the acquired basic models. The automatic modeling unit (102) is configured to receive the acquired basic models from the generator core (101), adjust the acquired basic models based on one or both of a resent measurement dataset (120) and an operation history generator (130), and convert the basic models into an operation control model.

Abstract: A control device for controlling the operation of a supply and demand adjustment device that is connected to a power grid includes: detection means for detecting the state of the supply and demand adjustment device; communication means for transmitting the detection result of the detection means to an external device and receiving from the external device operation control information for controlling the operation of the supply and demand adjustment device; comprehension means for receiving and comprehending an adjustment power amount transmitted by bidirectional communication or one-way communication; and control means for, based on the adjustment power amount and the operation control information, controlling the operation of the supply and demand adjustment device.

Abstract: An energy management method for an energy supply system which includes at least an energy storage, a load and a generator with power dependent efficiency is provided. The method includes: calculating two time variant parameters indicating a discharge lower limit and an upper charge limit, respectively, of the energy storage, based on optimization using different kinds of prediction; and controlling, in a real time manner, charging and discharging of the energy storage and operation of the generator, with a certain priorities given to various power sources, such that state of charge of the energy storage is controlled within a region between the discharge lower limit and the upper charge limit. When a grid power is available, blackout duration probability function is predicted and used to calculate the discharge lower limit and the upper charge limit.

Abstract: A plurality of subsystems (21, 22, 23) have one or more internal states. A plurality of local optimizers (11, 12, 13) control the corresponding subsystems based on the internal states thereof and data exchange due to a coupling between the subsystems, respectively. A mediator (10) monitors outputs (y1, y2, y3) and/or some internal states of the plurality of subsystems (21, 22, 23) and controls operations of the plurality of local optimizers (11, 12, 13) based on the internal states and/or outputs thereof. Each of a first subsystem and a second subsystem is one of the plurality of subsystems (21, 22, 23). A first internal state that is the close to the second subsystem in the first subsystem is affected by a second internal state that is close to the first subsystem in the second subsystem, or the first and second subsystems share a common resource.

Abstract: An object of the present invention is to set a demand schedule for performing highly efficient demand-supply adjustment of electric power, to deal with electric power demand.

Abstract: An energy management method for an energy supply system which includes at least an energy storage, a load and a generator with power dependent efficiency is provided. The method includes: calculating two time variant parameters indicating a discharge lower limit and an upper charge limit, respectively, of the energy storage, based on optimization using different kinds of prediction; and controlling, in a real time manner, charging and discharging of the energy storage and operation of the generator, with a certain priorities given to various power sources, such that state of charge of the energy storage is controlled within a region between the discharge lower limit and the upper charge limit. When a grid power is available, blackout duration probability function is predicted and used to calculate the discharge lower limit and the upper charge limit.

Abstract: A control device for controlling the operation of a supply and demand adjustment device that is connected to a power grid includes: detection means for detecting the state of the supply and demand adjustment device; communication means for transmitting the detection result of the detection means to an external device and receiving from the external device operation control information for controlling the operation of the supply and demand adjustment device; comprehension means for receiving and comprehending an adjustment power amount transmitted by bidirectional communication or one-way communication; and control means for, based on the adjustment power amount and the operation control information, controlling the operation of the supply and demand adjustment device.