A unit space update device, which generates a unit space, includes: a detection value acquisition unit which acquires a bundle of detection values detected at a constant cycle; and a deletion processing unit which deletes one bundle from the bundles of the detection values constituting the unit space, when adding the bundle of the detection values to the unit space. The deletion processing unit includes at least one among: a first processing unit which randomly deletes one bundle from the bundles of the detection values forming the unit space; and a second processing unit which, with respect to the detection value of the predetermined evaluation item among the plurality of evaluation items, deletes any one bundle of the bundles including the detection value with the highest appearance frequency in the unit space, or one of two bundles having the smallest difference between the detected values in the unit space.

In order to output sufficient reactive power for voltage stabilization of a utility grid, and calculate an appropriate consideration according to an amount of the output reactive power, is provided a control device for controlling a distributed power source connected to the utility grid, comprising: a range setting unit where an allowable range of reactive and active powers output at normal times is set; an output control unit for controlling the reactive and active powers supplied from the distributed power source to the utility grid within the allowable range set in the range setting unit; and a reception unit for receiving, from a command device in the utility grid, an excess output command indicating that the reactive power exceeding the allowable range should be output, wherein the output control unit is for outputting the reactive power out of the allowable range when the reception unit receives the excess output command.

A system for controlling heating, ventilation, or air conditioning (HVAC) equipment of a building includes one or more processing circuits configured to generate simulated building data using a simulation model of the building, pre-train a reinforcement learning (RL) model using the simulated building data, operate the HVAC equipment of the building using the RL model, and retrain the RL model using actual building data generated responsive to operating the HVAC equipment using the RL model.

A system includes a power profile engine, a power measurement engine, and a power throttling signal generator. The power profile engine receives a desired power profile, e.g., a first profile current average associated with a first time duration and a second profile current average associated with a second time duration. The power measurement engine measures current being drawn and generates a first running average for the measured currents for the first time duration and generates a second running average for the measured currents for the second time duration. The power throttling signal generator generates a first power throttling signal to throttle power in response to the first running average for the measured currents being greater than the first profile current average and generates a second power throttling signal to throttle power in response to the second running average for the measured currents being greater than the second profile current average.

A system for synchronizing an electrical generator to a reference power source, the system comprising: a first measurement unit configured to: measure a magnitude and a frequency of a first electrical power at a terminal of the reference power source; record first timing data indicative of the occurrence of predetermined variations of the first electrical power at the terminal of the reference power source; and transmit the first timing data and first measurement data comprising the measured magnitude and the measured frequency of the first electrical power; a second measurement unit configured to: receive the first measurement data; measure a magnitude and a frequency of a second electrical power at a terminal of the electrical generator; and record second timing data indicative of a present time; and a controller configured to adjust operational characteristics of the electrical generator based on the first timing data, the second timing data, the first measurement data, and second measurement data comprising the measured magnitude and the measured frequency of the second electrical power.

A method predicts a grid state of an electrical power distribution grid, in which a central computer arrangement is used to receive measured values from measuring devices. A state estimation device is used to predict a future grid state, wherein the prediction of the future grid state is taken as a basis for ascertaining measures to guarantee stability of the power distribution grid. The prediction is made for multiple times within a predefined time window. A first prediction device is used to ascertain a prediction for a first portion of the multiple times on the basis of a voltage var control method, and in that a second prediction device is used to ascertain a prediction for a second portion of the multiple times on the basis of a neural network method.

A system for tracking exchange of energy, includes: a memory that stores energy information generated by each node of a plurality of nodes in a blockchain network, the energy information indicating a production method used for producing the energy and an issuance status of a certificate that certifies the production method; and circuitry that receives, from an information processing apparatus, issuance request information requesting issuance of the certificate for the production method of energy, and determines an issuance status of the certificate for the production method of energy, based on the issuance request information that is received.

To perform a prognostic health analysis for an asset (11-13), a stochastic simulation is performed. Transition probabilities for transitions between states of a discrete state model (41-44) used in the stochastic simulation are updated as information on asset degradation becomes available.

A method of resource management for transferring resources from providers to consumers is described. The method comprises the following steps. Supply parameters for the providers and demand parameters for the consumers are established, and constraints on the allocation of the resources are also established, as is an optimisation function for determining matches between providers and consumers. The optimisation function is solved for the established constraints using a constraint-based problem solver to determine matches between providers and consumers. Resources are then transferred from providers to consumers according to the determined matches. A computing system adapted to perform this method is also described, along with a power distribution system including such a computing system.

The present disclosure relates to aerosol delivery devices comprising a power unit and a cartridge that is configured for engagement with the power unit. In particular, the cartridge can be configured for rotation about a longitudinal axis thereof so as to be insertable into a chamber of the power unit in a plurality of different orientations. Further, the aerosol delivery device can include processing circuitry that can be configured for detection of the cartridge orientation and execution of a control function assigned to the respective orientation.