Abstract: A motor controller includes: a command unit which outputs a command value for controlling a motor that drives a driven unit; a motor control unit which controls the motor based on the command value; a compensation filter which compensates for the command value; and a preprocessing unit which is provided in a stage preceding the compensation filter, the compensation filter has a frequency region in which a gain is greater than 1 and the preprocessing unit executes, when a variation in the command value before being compensated for with the compensation filter is equal to or less than a predetermined value, preprocessing in which a past command value is used as a current command value.

Abstract: A heating, ventilation, and/or air conditioning (HVAC) system includes a compressor having an impeller configured to rotate and drive a working fluid through a working fluid circuit of the HVAC system in an active operating mode. The HVAC system further includes a controller configured to, in response to receiving an input indicative of a transition to operate in an inactive operating mode, suspend the active operating mode by interrupting a supply of power to the compressor, adjust pre-rotation vanes of the compressor, a variable geometry diffuser of the compressor to a first position, or both to enable a backflow of the working fluid through the compressor for a first interval of time, and, after the first interval of time has elapsed, adjust the pre-rotation vanes, the variable geometry diffuser, or both to a second position to block the backflow of the working fluid through the compressor.

Abstract: Systems and methods for identifying optimal siting locations for an energy storage system. Siting locations are identified based on a value index derived from pricing data associated with a plurality of nodes on an electrical grid. An index is derived for each selected node of the plurality of nodes to produce a siting recommendation.

Abstract: Environmental data of an environment of the building and cooling load demand data are received as first training data, which are used for training a first machine learning model to predict a cooling load demand from environmental data. Furthermore, control signals for the chiller plant and cooling power data resulting from applying the control signals to the chiller plant are received as second training data which are used for training a second machine learning model to predict a cooling power from control signals. Actual environmental data are received, from which a cooling load demand is predicted by the trained first machine learning model. Furthermore, candidate control signals for the chiller plant are generated, and from which a resulting cooling power is predicted by the trained second machine learning model. From the candidate control signals, applicable control signals are selected for which a predicted cooling power fulfills the predicted cooling load demand.

Abstract: The disclosure relates to libraries used in conjunction with integrated ventilation and temperature controls for enclosed structures. Specifically, the disclosure is directed to libraries, systems and methods for minimizing pollution while simultaneously conserving energy and maintaining required levels of fresh air inside a multi-storied structure and its internal spaces, in an optimal manner, utilizing dynamic, user-defined threshold values and implementing strategies based on user defined goals.

Abstract: A method and system for reinforcement learning can include an actor-critic framework comprising an actor and a critic, the actor comprising an actor network and the critic comprising a critic network; and a controller comprising a neural network embedded in the actor-critic framework and which can be tuned according to reinforcement learning based tuning including anti-windup tuning.

Abstract: An estimation unit estimates a thermal sensation representing how hot or cold a user feels based on an image of the user taken by a camera. A control unit controls an air-conditioning operation of an air conditioner based on an estimation result of the estimation unit so that the thermal sensation falls within a target range, the air conditioner targeting a room in which the user is present. The image shows a motion and/or state of the user representing a hot or cold sensation of the user, and the estimation unit extracts the motion and/or state of the user from the image to estimate the thermal sensation.

Abstract: A damper control device may include an appliance control programmed processor for controlling a gas burner, the appliance control programmed processor including a lockout register for storing electronic data information, and a damper control programmed processor for controlling a damper, the damper control programmed processor including a damper request register for storing electronic data information. The damper control programmed processor may be configured for selectively opening or closing the damper responsive to status of the damper request register and controlling status of the lockout register to indicate status of the damper, and the appliance control programmed processor may be configured for controlling status of the damper request register responsive to a call for operation of the gas burner and operating the gas burner only if the lockout register is in an unlock status.

Abstract: A control system for controlling a set of actuators of a system. The control system comprising a switcher configured to select a subset of setpoints from a set of setpoints that control the corresponding set of actuators. An extremum-seeking controller (ESC) configured to perturb a subset of setpoints at each iteration based on a probabilistic distribution of partial gradients of a cost function relating values of the subset of setpoints to a cost of operation of the system. A stochastic gradient estimator is configured to estimate a full gradient of the cost function and update the estimation of the full gradient based on the probabilistic distribution of the partial gradients generated at each ESC iteration. A feedback controller is configured to drive a state of the subset of actuators of the system towards the corresponding perturbed subset of setpoints.

Abstract: Heating and cooling systems at various geographical locations are controlled by a central energy management service unit to maintain comfortable indoor temperatures. In some weather conditions, people may intuitively prefer a slightly warmer or cooler indoor temperature. In systems equipped with environmental learning capabilities, an apparent outdoor temperature is determined based on the geographic location itself, the season at the geographic location, the forecasted actual temperature, and one or more seasonal weather factors such as wind velocity or humidity. The apparent temperature and a trained machine learning system are used to select an automated schedule for the geographic location to be directly transmitted to devices at the location. The automated schedule can vary from typical schedules by causing the heating and cooling systems to maintain a temperature that is slightly warmer or cooler than typical indoor temperatures.

Abstract: A method for delivering power to a grid. The method may include receiving a prediction of power generation for a renewable energy source (RES), receiving power level requirements of the grid, and receiving length of power delivery requirements of the grid. The method may further include determining a power delivery limit based on the prediction of power generation, the power level requirements, and the length of power delivery requirements. The method may further include delivering power to the grid according to the power delivery limit from the RES and an energy storage system (ESS) electrically coupled to the RES.

Abstract: A method for driving an electricity production assembly includes an electricity production system, that generates an output power, as well as an electricity storage system. The production assembly is driven, at each time-step, in such a way as to deliver a total power that is less than a maximum admissible power. The maximum admissible power is determined in such a way that the production assembly can, starting from this power, and taking account of a stored energy in the storage system at the considered time-step, progressively reach, with a moderate slope, a minimum anticipated power, which is representative of the worst downward variation expected for the output power in case of degradations in meteorological conditions.

Abstract: A building management system comprises building equipment operable to affect a physical state or condition of a building. The building management system includes a system manager coupled to the building equipment via a system bus, the system manager comprising a schedule manager configured to control a first operation schedule of the building equipment. Combined schedules are configured to be controlled by the schedule manager. The combined schedules are configured to control both a first setpoint of the building equipment and first operation schedule of the building equipment. A client device is configured to communicate with the schedule manager to modify the first operation schedule of the building equipment to include the first schedule object.

Abstract: A system and method of simulating and optimizing industrial and other processes includes a computer that performs multivariate analysis of input variables and output variables to generate a data model of the operation of the process. For industrial applications, the input variables include process variables and the output variables include result variables from the operation of the industrial process. The data model determines contributions to changes in the output or result variables by the respective input or process variables and is provided to a predictive algorithm to identify parameter values for input or process variables expected to have a most significant impact on the output or result variables during performance of the process. The outputs of the predictive algorithm are parameter values that are provided as input or process variables to the industrial process for simulation or performance optimization or product recommendations/optimizations.

Abstract: An air conditioner and a control method thereof are provided. The air conditioner includes a sensor portion including at least one sensor, a controller including at least one control portion to control a function of the air conditioner, and at least one processor operatively connected to the sensor and the controller. The at least one processor is configured to obtain an airflow speed and indoor environmental data by the sensor portion while the air conditioner is operating, generate a first algorithm by applying the obtained airflow speed, the indoor environmental data, and pre-stored reference data to a second algorithm, and control operation of the air conditioner based on the generated first algorithm.

Abstract: A method of assessing the reliability and availability of a distributed energy resource (DER) device included among a plurality of DER devices in communication with a platform over a network. The method includes monitoring, by the platform, behavior of the DER device. This may include monitoring an extent to which the DER device is available to engage in communication with the platform over the network. This monitoring may also include determining whether the DER device acknowledges control commands sent to the DER device over the network and determining whether the DER executes the control commands in conformance with at least one of a standard and a regulation. The method further includes determining, based upon the monitoring of the behavior of the DER device, a value of a reliability and availability score for the DER device.

Abstract: Systems and methods are provided for the robust, multivariable control of a power generating asset via H-infinity loop shaping using coprime factorization. Accordingly, a controller of the power generating asset computes a gain value for an H-infinity (H?) module in real-time at predetermined sampling intervals using an actuator dynamic model. The controller then determines an acceleration factor based, at least in part, on the gain value of the H? module. Based, at least in part on the acceleration vector, the controller generates a control vector. An operating state of at least one component of the power generating asset is changed based on the control vector.

Abstract: A monitoring system for an industrial operation having one or more machines, the monitoring system operates to obtain operational information comprising performance operating parameters and uses the operational information to create an operational baseline and reference thresholds and monitors real-time operational data to determine if an operating parameter exceeds a reference threshold.

Abstract: A method for controlling the heating operation of an air conditioner.

Abstract: Systems and methods for training a surrogate model for predicting system states for a building management system based on generated data from a system identification model are disclosed herein. The system identification model is used to generate predicted system parameters of a zone of the building based on historic data from operation of the building equipment. The surrogate model is trained based on the predicted system parameters from the system identification model. Predicted future parameters of the variable state of the building are generated using the surrogate model. The surrogate model is re-trained based on new operational data from the building equipment. An updated series of predicted future parameters is generated using the re-trained surrogate model.