Abstract: Techniques for generating simulated waveforms for an electric meter include operating a meter in simulation mode without an external load device connected to the meter. Simulated waveforms are generated for a number of channels based on waveform component values. The waveforms are generated at a rate that corresponds to a sample rate of an analog to digital converter (ADC) of the meter. In simulation mode, the waveforms are provided to a meter firmware interface, instead of the waveform data obtained from the ADC.

Abstract: To operate electrical devices, power consumptions of all the electrical devices are continually captured and assigned to the individual electrical devices and at least one desired result is achieved by virtue of at least a first control instance of the electrical devices, the operation of which helps to achieve a desired result, and a second control instance of the electrical devices, the operation of which likewise helps to achieve the desired result. The devices are operated in a coordinated fashion. To this end, measured values from multiple measured value transmitters are captured by operating the multiple electrical devices. Correlations between changes in the measured values of the individual measured value transmitters over time and changes in the power consumptions of the individual electrical devices over time are determined and the desired result is selected from a subgroup of results.

Abstract: A digital power metering system with serial peripheral interface (SPI) multimaster communications is provided. A digital power meter is provided that includes at least one sensor that senses analog electrical parameters on electricity transmission lines from an electrical power distribution system, at least one analog-to-digital converter that receives the analog electrical parameters from the at least one sensor and converts the analog electrical parameters to sampled data; at least one processing device that performs calculations to determine power usage based on the sampled data and control overall operation of the meter, and a Serial Peripheral Interface (SPI), wherein the at least one processing device includes a plurality of processing devices, the SPI allowing one of the plurality of processing devices to become a master and the other processing devices of the plurality of processing devices to become slaves.

Abstract: A method for monitoring power consumption of an appliance within a space is provided. The method includes obtaining a first set of data indicative of power consumption of the appliance during an interval of time and determining a profile indicative of power consumption of the appliance based, at least in part, on the first set of data. The method includes obtaining a second set of data indicative of power consumption of the appliance subsequent to obtaining the first set of data. The method includes determining whether power consumption of the appliance deviates from the profile based, at least in part, on the second set of data. Furthermore, in response to determining power consumption of the appliance deviates from the profile, the method includes providing a notification indicative of power consumption of the appliance deviating from the profile.

Abstract: A building system operates to receive building data from one or more building data sources associated with the building, wherein at least a portion of the building data is associated with control of the one or more environmental conditions of the building and generate, based on the building data, one or more data quality indicators for the building data received from the one or more building data sources, the one or more data quality indicators indicating quality levels of the building data. The building system operates to generate user interface data configured to cause a user device to display a user interface providing indications of the one or more data quality indicators.

Abstract: Methods, devices, and systems for point value change notification are described herein. One system (100) includes a message broker (108) to receive data from a data acquisition (DAQ) system, a first building management system (BMS) instance (104) connected to the message broker (108) to process a first portion of the DAQ data, a second BMS instance (104) connected to the message broker (108) to process a second portion of the DAQ data, and a web application (118) connected to the message broker (108) to generate a notification of a change in point value of a portion of the first portion or the second portion of the DAQ data, where the first BMS instance (104) and the second BMS instance (104) are provisioned with a plurality of computing resources deployed in a computing environment (102, 502) and are ultimately executed on hardware.

Abstract: Techniques for implementing a fault-tolerant power supply are described. In an example, a system converts an alternating-current (AC) voltage to an initial direct current (DC) voltage. The system further converts the initial DC voltage to a first DC voltage and a second DC voltage. The system applies the first DC voltage to a high-priority device such as a metrology device. The system applies the second DC voltage to a low-priority or peripheral device. When the initial DC voltage is outside a voltage range, the system deactivates the second DC voltage to the lower-priority device and maintains the first DC voltage to the metrology device.

Abstract: A power supply circuit portion for supplying power comprises a first power rail, a second power rail, first and second output terminals, an energy storage device connected in parallel with the first and second output terminals; and first and second switching portions. The power supply circuit portion has a first mode in which power is supplied to the first and second output terminals by the first and second power rails, and a second mode in which the first switching portion is arranged such that power is not supplied to the first and second output terminals and the second switching portion is arranged to disconnect the energy storage device from the first power rail.

Abstract: An energy meter is configured to determine component waveforms that form a measured waveform. The meter inputs the waveform into one or more entries of a data structure, each entry of the one or more entries of the data structure storing a weight value that is determined based at least in part on values of the data signatures representing the plurality of remote devices, each entry being connected to one or more other entries of the data structure. The meter, for each of the one or more entries, generates an output value by performing an arithmetic operation on the waveform stored at that entry, the arithmetic operation comprising a function of the weight value. The meter identifies, from among the data signatures, one or more particular data signatures that are represented in the waveform. The meter determines, based on the particular data signatures, an operational state of another device.

Abstract: Methods, systems, and apparatus for receiving one or more power usage measurements for a set of elements, determining a user behavior based at least on an analysis of the one or more power usage measurements of at least one of the set of elements, and based on a determined user behavior, causing the at least one of the set of elements to perform an action that affects a power function of the at least one of the set of elements.

Abstract: A method of predicting a remaining battery life in a device is provided. The method includes obtaining battery state information indicative of a current state of a charge of a battery, the battery being configured to supply power to a device; predicting, by using a machine learning algorithm, a remaining battery life of the device on which a specific application is to be executed, based on the obtained battery state information; and providing, to a user, an indication of the predicted remaining battery life.

Abstract: Aspects of the subject disclosure may include, for example virtual assistants that allow communications with non-human entities. A virtual assistant associated with a non-human entity may communicate directly with a human user or may communicate with a second virtual assistant associated with the user. Example non-human entities include animals, toys, and connected devices. Other embodiments are disclosed.

Abstract: A hazardous energy control system has a web-based application adapted to be associated with a personal electronic device. The application has a worksite manager that is created from project documents that are uploaded to the application and selectively displays locations for equipment and hazardous energy barriers.

Abstract: A system is disclosed that includes a memory and a processor configured to perform operations stored in the memory. The processor performs the operations to select a master clock for a plurality of clocks in a design logic circuit. The processor further performs the operations to align a clock edge of a clock of the plurality of clocks with a corresponding nearest clock transition of the master clock. The aligned clock edge of the clock limits a number of emulation cycles for the design logic to a fixed number of emulation cycles required for the master clock The processor further performs the operation to determine a clock period for measuring power required for the design logic circuit and estimate, at the aligned clock edge, the power required for the design logic circuit corresponding to the determined clock period, which corresponds to a clock selected from the plurality of clocks and the master clock.

Abstract: According to one embodiment, an operation planning system includes a demand information database and a plurality of planning units. The demand information database stores demand data including an overall output required for a plurality of operation units for a planning period in an operation plan. The plurality of planning units adjusts output settings of the plurality of operation units. Any of the planning units selects a combination of operation units which provide the overall output required for the planning period, and based on operation costs depending on the outputs of the operation units, a process is repeated to generate the operation plan, the process including: selection of the operation unit belonging to the combination of operation units; and adjustment of the output setting for the selected operation unit by the planning unit paired with the selected operation unit.

Abstract: A building management system is communicably connected to an energy blockchain network to reduce energy costs of a building. The system includes an energy load balancer to distribute energy from a plurality of energy suppliers to power a load in the building, a processor, and memory storing instructions that causes the processor to: monitor energy pricing data from each of the energy suppliers; calculate a balanced load payload corresponding to an energy demand forecast for the building according to the energy pricing data from the energy suppliers; generate a smart contract corresponding to the balanced load payload in blocks of the energy blockchain network to procure energy from corresponding ones of the energy suppliers; and generate load balancing instructions for the energy load balancer based on the smart contract. The energy load balancer switches between the corresponding ones of the energy suppliers according to the load balancing instructions.

Abstract: Embodiments described herein provide foreign object detection based on coil current sensing. The transmitter power loss is computed directly based on the coil current, in conjunction with, or in place of the conventional computation based on transmitter input current. The enhanced precision of the computer power loss can be used to more accurately detect a foreign object near the transmitter coil during a wireless power transfer.

Abstract: A system for crosstalk cancelation for electricity metering in a power distribution network is provided. For example, a meter can be used to generate a set of measurement points by measuring electrical signals provided by a reference power device according to a set of source points. Based on the set of source points and the corresponding set of measurement points, a crosstalk cancelation function is derived and stored in the meter. When the meter is deployed at a geographical location and generates a measurement point by measuring the electrical signal on the power distribution network, the meter further applies the crosstalk cancelation function to the measurement point to generate a transformed measurement point. The meter calculates various characteristics of the power distribution network based on the transformed measurement points and transmits the calculated characteristics to a headend system.

Abstract: A control system for cost optimal operation of an energy facility including equipment covered by a maintenance contract includes equipment configured to operate during an optimization period and a controller. The controller modifies a cost function to include a maintenance cost term that defines a maintenance cost as a function of a rate variable and an equipment usage variable. The controller simulates a cost of operating the energy facility over the optimization period at each of a plurality of different values of the rate variable, selects a value of the rate variable that results in a lowest cost of operating the energy facility over the optimization period, performs an online optimization of the cost function with the rate variable set to the selected value to generate one or more setpoints for the equipment, and operates the equipment during the optimization period in accordance with the generated setpoints.

Abstract: A system and method to monitor individual appliance performance. A monitor module is provided for aggregating data from a plurality of appliances wherein the module includes. Included in the monitor device is a gateway device configured to capture operational data relating to each of the plurality of appliances and an analyzing device configured to determine individual operational characteristics for each of the appliances from analysis of the captured operational data. A notification device is further provided which is configured to provide information to a user regarding the determined operational characteristics for each of the appliances.

Abstract: A power device and an operating method thereof are provided. The power device comprises a communication interface and a control circuit. The control circuit is configured to connect a network through the communication interface, and to execute a web server program to provide a web-based user interface. The web-based user interface is configured to provide a plurality of web pages, and the web pages are configured to present a plurality of different related information of the power device. The web-based user interface is further configured to provide a virtual button. When the control circuit determines that the virtual button is clicked once, the control circuit collects the related information from different addresses corresponding to the related information in a memory space, and packages the collected related information as a single file, so as to perform a follow-up process on this single file.

Abstract: This document describes systems and techniques for evaluating and improving distribution-grid observability. These systems and techniques allow engineers to quantify the observability of a distribution grid, which represents an ability to combine actual measurements and various types of computations (e.g., analytics, estimators, forecasters), from a system model. Distribution engineers can also identify islands of observability where operating parameters, including voltages, currents, and power flows, can be determined from available sensor readings. By exclusion, distribution engineers can similarly identify areas of the distribution grid with observability deficiencies that may require additional instrumentation to maintain proper operation. Distribution engineers, using an iterative or automated process, can determine the observability of the system model with new or relocated sensors to generate a sensor allocation plan.

Abstract: A method and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.

Abstract: In accordance with some embodiments, margining routines to determine acceptable voltage command values for specific CPU implementations at one or more different operating levels may be provided.

Abstract: A system includes an intelligent electronic device (IED) and a control system configured to perform operations that include initiating establishment of a media access control security (MACsec) communication link via a MACsec key agreement (MKA) protocol, identifying information associated with the IED in response to initiation of the establishment of the MACsec communication link, the information being indicative of a protocol to be used by the IED to communicate data, and establishing a unidirectional MACsec communication link based on the information associated with the IED.

Abstract: Systems and methods for operating a series of generators configured to provide power to a motor or motors. Generators generally operate at different efficiency levels depending on the operating capacity. A computation component can analyze the current efficiency of the generators and determine if there is an alternative power distribution among the existing generators that would result in a more efficient operation of the system.

Abstract: A power consumption calculation apparatus identifies, from a history of a total power consumption Wx measured at a facility including power supply equipment, air conditioning equipment, and communication equipment; identifies, for each Wx, an air conditioning efficiency Ra; calculates a power consumption Wc? in a second area excluding a first area in the facility by applying each Wx and Ra to a relation Wc+Wa+(Wx×Rp)=Wx where Ra is calculated by dividing Wa being a power consumption of the communication equipment by Wa being a power consumption of the air conditioning equipment and Rp is a loss factor of Wx; and calculates a power consumption of the first or second area based on Wx corresponding to a second period in the history, Wc?, Rp, and an air conditioning efficiency Ra? corresponding to the second period.

Abstract: A load estimating device measures a voltage and a current supplied to a plurality of loads connected with a power supply, and obtains feature amounts of the plurality of loads from measurement values of the voltage and the current. A storage device stores a feature amount of each combination of two or more loads in advance. The load estimating device estimates what the plurality of loads connected with the power supply device are, on the basis of the obtained feature amounts and the feature amounts stored in the storage device. The feature amount includes a combination of an apparent power and a power factor.

Abstract: According to an aspect of an embodiment of the present disclosure a method of database connection management includes measuring a pattern of database connection use between a database and a client application. The pattern may include a number of database connections used by the client application under multiple conditions and a number of database connections in a connection pool under the plurality of conditions. The method may include identifying a first condition under which an increase in the number of database connections in the connection pool results in a decrease in connection delay. In response to existence of the first condition, the method may include adding a new database connection to the connection pool such that the new database connection is available to the client application in advance of a connection request for the new database connection.

Abstract: The power consumption associated with execution of an application is determined by causing one or more devices to execute the application. At multiple times before, during, and after execution of the application, the state of the power source for each device is determined. The state may include an amount of power discharged by the power source, an amount of power used to maintain a charge level of the power source, or a difference between a baseline power use and the amount of power used during execution of the application. The states for the power sources of each device are used to generate an output that indicates periods of high and low power use, and shows these periods of power use in association with different characteristics of the functions that were performed during those time periods. Using the output, a developer may optimize power use associated with an application.

Abstract: A device can be identified using a manufacturing characteristic in the device. Power consumption data associated with a device is received. A power model can be fitted to the power consumption data and at least one parameter is determined based on fitting. A fingerprint of the device can be created based on at least one parameter.

Abstract: Energy usage can be monitored within at least one building having a plurality of energy consuming components. A database can be generated that contains values for a set of data points corresponding to data received from the plurality of energy consuming components. A change in a configuration can be detected for the plurality of energy consuming components based upon a change in values received from plurality of energy consuming components relative to the database. Based upon the change, an additional data point can be added to the set of data points in the database. Based upon the values for the set of data points, a probability can be determined that a rule for the additional data point is valid. A message can then be generated that includes the determined probability.

Abstract: A smart ventilation system which uses outdoor temperature and moisture to optimize control of the system. The main principle is to shift ventilation from time periods that have large indoor-outdoor temperature and moisture differences to periods when these differences are smaller, and their energy and comfort impacts are expected to be less. Fan flow rates are reduced when the outside temperature and moisture falls outside of optimum levels, yet overall air exchange is maintained to ensure chronic and acute exposure to pollutants remains relative to best practice. Online weather and smart thermostat data can be used as control inputs, so no specific measurement devices are needed to control ventilation fans.

Abstract: A method for generating a net load forecast for a utility grid, the grid including intermittent distributed energy resources and loads, comprising: defining two or more load forecast zones, each zone being associated with a load profile type and a climate zone type; assigning each of the loads to one of the zones based on the load profile and climate zone types associated with the load; assigning each of the energy resources to at least one of the zones based on the climate zone type associated with the energy resource; for each zone, generating an electrical energy consumption forecast for loads, an electric power generation forecast for energy resources, and a net load forecast from the electrical energy consumption and electric power generation forecasts; combining the net load forecast for each zone to generate the net load forecast for the grid; and, presenting the net load forecast on a display. The utility grid may be or may include a microgrid.

Abstract: A three-phase power meter can monitor power on both 3-wire and 4-wire power lines. The power meter measures at least two voltages between phase conductors of the power line, and at least one voltage between a phase conductor and a neutral conductor of the power line when the neutral conductor is available. Using at least some of the measured voltages, the power meter can then operate in a first mode when coupled to a 3-wire power line to determine power on the power line based on the measured voltages, or operate in a second mode when coupled to a 4-wire power line to determine power on the power line based on the measured voltages.

Abstract: Provided is a process of determining a future battery level of one or more battery-powered computing devices, the process including: accessing an event record in memory describing a scheduled event in which a user of a plurality of computing devices is scheduled to participate, inferring a subset of the plurality of computing devices to be used in that time period, determining present battery levels of the computing devices, the levels being values indicative of an amount of energy stored by batteries, determining present usage rates of battery energy, inferring battery outlooks corresponding to the scheduled event, a battery outlook being an estimated amount of energy consumption attributable to the scheduled event, and predicting future battery levels of computing devices based on at least a present battery level, a present usage rate, and a battery outlook corresponding to the scheduled event.

Abstract: 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.

Abstract: The present invention is generally directed to methods of disaggregating low resolution whole-house energy consumption data. In accordance with some embodiments of the present invention, methods may include steps of: receiving at a processor the low resolution whole house profile; selectively communicating with a first database including non-electrical information; selectively communicating with a second database including training data; and determining by the processor based on the low resolution whole house profile, the non-electrical information and the training data, individual appliance load profiles for one or more appliances.

Abstract: A method comprises: obtaining service data identifier information of a data record of streaming data, a to-be-processed real-time value of the data record, and a time sequence characteristic of the to-be-processed real-time value of the data record, the identifier information representing service data; obtaining a time sequence characteristic of a processed real-time value of the service data based on a correspondence relationship between the service data identifier information and the time sequence characteristic of the processed real-time value; and comparing the time sequence characteristic of the to-be-processed real-time value and the time sequence characteristic of the processed real-time value, and in response to that the time sequence characteristic of the to-be-processed real-time value is later than the time sequence characteristic of the processed real-time value, updating the time sequence characteristic of the processed real-time value to the time sequence characteristic of the to-be-processed re

Abstract: A method for monitoring heating, ventilation, and air conditioning (HVAC) systems includes: Obtaining first training data for HVACs in a training set of households during a first period of spring weather; Obtaining second training data during a period of summer weather, Preprocessing the training data to identify repeating patterns of HVAC consumption or generating additional derived parameters, in an aggregation process; Calculating the amount of energy required to change house temperature; Applying the first training data and the classification labels to train a supervised machine learning algorithm, to generate an HVAC classification model predictive of inefficiency during periods of summer weather conditions; Obtaining operational data pertaining to HVACs in an operational set of households during a second period of spring weather; and Applying the HVAC classification model to predict inefficiency of HVACs at individual households in the operational set, during periods of summer weather using only overall

Abstract: An apparatus and method are used for disaggregating and classifying energy consumption data from the overall energy consumption data of a building. Both high frequency sampling data classified by a convolutional neural network running on a cloud server and low frequency sampling data analyzed by a convolutional neural net running locally on an electric smart meter are used in the method. A control circuit switches between high and low frequency sampling modes based on the activity level of the building. Individual devices can also be controlled through a mobile application connected to the control circuit.

Abstract: Methods, systems, and computer readable media are disclosed for monitoring electric systems for wiring faults. In some examples, a system includes a production power meter coupled to a power generation system of a building and configured for measuring electric power generated by the power generation system, one or more consumption power meters coupled to an electric system of the building and configured for measuring electric power consumed by the electric system, and a computer system coupled to the production power meter and the consumption power meters. The computer system is programmed for determining that at least one power meter is installed with a reversed polarity that is reversed with respect to an installation specification, resulting in the computer system receiving measured values from the at least one power meter having an incorrect sign.

Abstract: The present invention provides methods and systems to estimate energy losses due to shading in PV systems from data including the measured energy and power produced over the lifetime of the system, the system size and configuration data, the weather conditions (including irradiance, ambient & panel temperature, and wind conditions) over the lifetime of the system, and derived meteorological condition information (e.g., decomposed irradiance values at any time).

Abstract: Systems and methods for power analysis of a hardware device design. In various examples, a target circuit can be defined within the hardware device design. The target circuit can include a plurality of digital circuit elements linking a plurality of input nodes with a plurality of output nodes. A solver can be used to search for a transition pattern that, when applied to the input nodes, causes a number of output nodes equal to a counter to transition from a first binary value to a second binary value. If a transition pattern cannot be found, the counter is decremented and a new transition pattern is searched for. Once a transition pattern is found, it is determined whether the transition pattern satisfies a constraint.

Abstract: The present invention provides methods and systems to estimate energy losses due to soiling in photovoltaic (PV) systems from data including the measured energy and power produced over the lifetime of the system, the system size and configuration data, the weather conditions (including irradiance, precipitation, ambient and panel temperature, and wind conditions) over the lifetime of the system, and derived meteorological condition information (e.g., the history of clear-sky conditions at the location of the site).

Abstract: A system for analyzing electrical consumption of a site equipped with a plurality electrical equipment. The system comprises at least one sensor for periodic measurement of global consumption of the site by measuring current and voltage signals on at least one of the electrical phases upstream of the supply network for the site. The system comprises a processor for decomposing the global consumption of the site to individual consumption of each kind of electrical equipment based on a set of signatures with each signature has power load coefficients representing power loads of the corresponding electrical equipment. The system comprises a processor for optimizing the set of signatures and power load coefficients in comparing a calculated recomposition of the individual consumption with the measured global consumption to have a smallest difference of the comparison result, while respecting physical constraints of the set of signatures and the power load coefficients.

Abstract: A meter reading system, comprising: a monitoring station which monitors a plurality of meters, wherein the meters each include a storage unit which stores data as to usage and/or generation at predetermined intervals and an interface for communication with a meter reader; and a plurality of meter readers which communicate with the monitoring station, and, under control of the monitoring station, each designate the meters to be read and return data read from the meters to the monitoring station; wherein the monitoring station comprises a storage unit which stores data for each of the meters being monitored, and a communications unit which maintains entries for each of the meters for communication to and from the meter readers, the entries each designating the required data to be read from the respective meters; wherein the meter readers each comprise a storage unit which receives the entries for the meters to be monitored thereby, and, on reading the meters, stores the required data, an interface which is conn

Abstract: A data processing apparatus including a waveform data acquisition unit which acquires waveform data of a consumption current and/or a voltage of a target device, a feature value extraction unit which extracts a waveform feature value from the waveform data, an environment data acquisition unit which acquires environment data indicating an environment of the target device at the time when the waveform data is acquired, an operation state data acquisition unit which acquires operation state data indicating an operation state of the target device at the time the waveform data is acquired, a distance calculation unit which calculates a distance between each of members including the waveform feature value, the environment data, and the operation state data, and each of a plurality of reference members, a grouping unit which groups the members, and a registration unit which registers a group satisfying a predetermined condition as training data.

Abstract: A method and an apparatus for determining the distributed power supply capacity to be accessed by a feed line of a power distribution network, and a storage medium, the method comprising: determining feed line loss on the basis of load information of power distribution network feed line access nodes and circuit parameters; on the basis of the feed line loss, determining three-phase voltage change values of the feed line circuit; using a single phase having the greatest voltage change amongst the voltage change values, determining a maximum active power for distributed power supply access under voltage constraints; comparing the current of the feed line corresponding to the maximum active power with a circuit current limit, and determining the distributed power supply capacity to be accessed by the feed line; the apparatus comprises a feed line information collection unit, a voltage drop unit, a quantitative calculation unit, and a results analysis unit.

Abstract: The present invention is a system and method for determining the efficiency of a smart appliance in a smart grid network and providing feedback based on the efficiencies of similar smart appliances in the smart grid network. The system includes a central controller in digital communication with a network component of a smart grid and smart appliances in the smart grid network. The smart appliances are associated with ADLs. An energy consumption measurement is calculated for the smart appliances for each ADL. A notification is transmitted from the central controller to a smart appliance or to the owner of the smart appliance indicating to repair or replace the smart appliance when the energy consumption measurement is below an inefficiency threshold. The energy consumption measurement is determined based on data such as appliance meta data, smart meter data, a user profile, user demographics, a user specific ADL schedule, and historical data.