A method for identifying a pattern of a load cycle includes: performing statistics on a daily load of a system based on smart meter data; generating a curve of the daily load of the system according to the statistics on the daily load of the system; acquiring a result of clustering curves of loads of typical days by applying shape-based time sequence clustering analysis using the curve of the daily load of the system; and identifying a pattern of a load cycle according to the result of clustering the curves of the loads of the typical days.

A method for initiating and automatically improving model-driven operations in a low-data scenario includes creating a regression model using pre-operation data prior to initiating the model-driven operations, using the regression model to initiate and perform the model-driven operations during an operational stage, collecting operational data during the operational stage, creating a first artificial neural network model using the operational data, transitioning from using the regression model to perform the model-driven operations to using the first artificial neural network model to perform the model-driven operations responsive to the operational data satisfying a first sufficiency threshold.

Provided is a power system status estimation device capable of increasing the likelihood that status estimation calculations converge. Thus, a power system status estimation device 1 is equipped with: a measured value selection unit 102 for selecting a prescribed combination of measured values using which it is predicted that the power system status estimation calculations will converge, from among the measured values from each sensor provided in the power system; and a status estimation calculation unit 101 for estimating the status of the power system on the basis of the prescribed combination of measured values selected by the measured value selection unit and the system model for the power system.

Devices and methods of allocating distributed energy resources (DERs) to loads connected to a microgrid based on the cost of the DERs are provided. The devices and methods may determine one or more microgrid measurements. The devices and methods may determine one or more real-time electricity prices associated with utility generation sources. The devices and methods may determine one or more forecasts. The devices and methods may determine a cost associated with one or more renewable energy sources within the microgrid. The devices and methods may determine an allocation of the renewable sources to one or more loads in the microgrid.

Process control parameters are predicted to fabricate an object using deposition. An input design geometry is provided for the object. A training data set includes past post-build physical inspection data for a plurality of objects that comprise at least one object that is different from the object to be physically fabricated; and training data generated through a repetitive process of randomly choosing values for each of multiple process control parameters and scoring adjustments to the multiple process control parameters as leading to either undesirable or desirable outcomes, the outcomes based respectively on the presence or absence of defects detected in a fabricated object arising from the process control parameter adjustments. A machine learning algorithm is trained using the provided training data set and a predicted optimal set of the multiple process control parameters is generated for initiating and performing the deposition process to fabricate the object.

A sequential or cascading predictive control method is provided, including first solving a cost function and then a second cost function for two or more control objectives. The method includes

separating the cost function into at least two or more cost functions, depending on the number of defined control objectives.

The method additionally includes controlling a first variable with a unitary cost function, a single term or nature of the control objectives.

The method also includes determining the possible states that minimize the cost of the first objective to be controlled.

Considering only the options given through this determination, a second variable is controlled with a cost function that minimizes the cost function thereof.

Systems and methods are provided for managing power usage in mining environments. The amount of power needed to operate a set of electrical machines that are to run simultaneously is determined. Power usage by the electrical machines during a time period can be predicted based on how much power is expected to be needed by each machine. If the predicted power usage exceeds a threshold power usage, power to one or more electrical machines in the mining environment is restricted so that actual power usage in the mining environment does not exceed the threshold power usage during the specified time period. The electrical machines which will have power restricted thereto can be selected based at least in part on relative priorities for the electrical machines in the set. Power can be restricted to machines as a whole (an effective shutdown), or to specific operations of the machines.

A control system for a momentum wheel device is specified, wherein the momentum wheel device is a real momentum wheel device (1) and has a momentum wheel which is driven by a motor, and wherein a simulated momentum wheel device (2) is provided which simulates the behaviour of an ideal momentum wheel on the basis of an ideal physical model (12). The rotational speed of both the real momentum wheel device (1) and of the simulated momentum wheel device (2) can be changed by a torque command (6). A comparator device (11) is provided for comparing the real rotational angle (9) of the real momentum wheel device (1) and the simulated rotational angle (14) of the simulated momentum wheel device (2) and for generating a fault signal (15) corresponding to a deviation between the real rotational angle (9) and the simulated rotational angle (14). The fault signal (15) can be conducted to a control device (3), in order to actuate the motor on the basis of the fault signal (15), for the purpose of reducing the deviation.

There is provided a load controller for a system, the system comprising a first sub-system arranged to deliver a first load, the load controller being operable to: acquire a first target load profile, being the load initially desired for delivery by the first sub-system over an operational period; measure in real time during an update window within the operational period: a first parameter of the first sub-system, to obtain a first measured Load Controller monitor signal; and the first load, to obtain a first measured load signal; develop in real time a model of the first sub-system, using the first measured monitor signal and the first measured load signal, the model relating the first load to the first parameter; given the first target load profile, and the model of the first sub-system, generate for a future period a first predicted monitor signal, the future period being ahead of the update window; and determine whether the first predicted monitor signal satisfies at least one predetermined criterion.

It is disclosed a weather-predictive apparatus for controlling a climatization plant, comprising a weather-climate data sensor associated with a building, a processing unit and a signal transceiver. The signal transceiver is configured to transmit a current measured value of the weather-climate data associated with the building to a weather forecast device and it is configured to receive from the weather forecast device a plurality of weather forecast data associated with the building in a forecast time interval. The processing unit is configured to: calculate a change in a nominal activation instant of the climatization plant of the building, calculate a modified activation instant; check whether the current instant is equal to the modified activation instant. In case wherein the current instant is equal to the modified activation instant, the processing unit is configured to generate a command signal having a value representative of the activation of the climatization plant.