摘要:
A dynamic priority control apparatus of the present invention is characterized by including means that calculate a difference between instantaneous power of an initial target value and actual instantaneous power, initial target value updating means that take into account the difference, calculating priorities of electrical devices means based on electrical device property class data, and power arbitration means that determines the electrical devices to be supplied power based on the total value of the consumed power and the priorities of the electrical devices.
摘要:
A smart tap into which one or more than one power plugs can be inserted, including a voltage waveform measurement unit, a current waveform measurement unit, a communication unit, a control unit, and an arithmetic unit. The voltage waveform measurement unit and the current waveform measurement unit are units which measure a voltage waveform and a current waveform of power supplied to each of one or more home appliances via a corresponding respective power plugs connected to the home appliances. The communication unit is a unit which transmits the voltage waveform and the current waveform or a result of processing of the waveforms to a server. The control unit is a unit which controls switching of the power supplied to the home appliance and the amount of the supplied power in accordance with the control signal.
摘要:
In order to estimate behavior of a person at home from a feature and a power consumption pattern of an electrical device, an on-demand power control system of the present invention includes initial human-induced probability value estimation means that estimates a state of the electrical device, and estimates an initial value of a human-induced probability of the electrical device based on the estimated state of the electrical device, human position estimation means for calling up the initial value of the human-induced probability of the electrical device and a likelihood map of this device from a memory, performing, for all samples, a process of referring to a sample human position selected from the likelihood map and calculating a weight of the device by multiplying a human position and the human-induced probability of the device, and estimating a probability of a human position at each time point until a final time; and human-induced probability re-estimation means for performing recalculation of the human-induced probability based on the human-induced probability and a human position probability, performing the recalculation of the human-induced probability until a value of the recalculation converges, and outputting the human-induced probability and the human position probability when the value converges.