Abstract: A computer device and method for processing data to determine suggested modifications to the policy terms or conditions contingent upon informatic data relating to habits and activities of inhabitants of an insured property or location. Informatic data relating to an insured property or location is electronically received from at least one informatic sensor device and is analyzed to determine behavioral habits and activities of one or more inhabitants associated with the insured property so as to identify one or more risks associated with the insured property or location. Electronic data is received for one or more terms of an insurance policy associated with the insured property and is analyzed to determine suggested modifications to the policy terms or conditions based upon the determined behavioral habits and activities of the one or more inhabitants associated with the insured property.

Abstract: A building control system that includes a post VEE readings data stores, a rules processor, and a building controller. The stores provide tagged data sets that are each associated with a corresponding one of energy consumption streams, each of the sets having groups of contiguous interval values tagged as having been validated. The rules processor reads the stores and creates anomalies having different durations using only the groups of contiguous interval values and generates estimates for the anomalies by employing estimation techniques for each of the different durations and selects one of the estimation techniques for subsequent employment. The building controller receives post VEE readings and outside temperatures corresponding to the interval-based streams and determines and controls cumulative energy consumption corresponding to the interval-based streams and manages the cumulative energy consumption by scheduling run times for building elements that are coupled to the building controller.

Abstract: Disclosed techniques include energy storage and management using pumping. An energy source is connected to a pump-turbine energy management system, wherein the pump-turbine energy management system includes a pump-energy storage subsystem. Energy from the energy source is stored in the pump-energy storage subsystem. One or more processors are used to calculate a valve-based flow control setting for recovering energy from the pump-energy storage subsystem. One or more valves in the pump-energy management system are energized, wherein the energizing enables energy recovery. Energy is recovered from the pump-energy storage subsystem using a pump-turbine recovery subsystem enabled by the one or more valves that were energized. Waste heat is recovered through a waste-heat recovery subsystem which includes water heat exchangers or a fluid spray. The water from the water heat exchangers can be used to make steam or ice.

Abstract: The invention relates to a method for start-up of a sensor, comprising at least the following steps: performing a factory adjustment during the manufacture of the sensor; permanent storage of adjustment data from the factory adjustment in a memory of the sensor; delivering the sensor to the customer; and performing an initial user adjustment. The method is characterized in that adjustment data from the initial user adjustment in the memory of the sensor are stored permanently, thereby making it possible to improve the status evaluation of the sensor. The invention further relates to a computer program product, a machine-readable data carrier and a sensor.

Abstract: In response to receiving an indication from a client device experiencing a network connectivity error, a grouping of target client devices is identified for purposes of executing a distributed network diagnostic, the grouping being identified based on one or more configuration settings associated with client devices. The client devices in the identified grouping retrieve and execute an instruction. Data generated upon executing the instruction is received from each client device over a device management channel. The data is aggregated and trend data is generated. An instruction is sent to the client device experiencing the network connectivity error, wherein the instruction mitigates the network connectivity error.

Abstract: A method and apparatus are provided for determining, by a wireless power transmitter, whether a wireless power receiver is removed from a wireless power network managed by the wireless power transmitter. The method includes transmitting a command signal to report power information of the wireless power receiver at stated periods; determining whether a report signal corresponding to the command signal is received from the wireless power receiver; and determining that the wireless power receiver is removed from the wireless power network, if the report signal is not received after transmitting the command signal a predetermined number of times at the stated periods.

Abstract: Pricing a commodity based on a forecast received via remote access over a computer network. The forecast is an amount of the commodity that the user will use over a given time period. The provider supplies the user with an actual amount of the commodity over the given time period and then determines a price for the user for the supplied commodity, in retrospect, after the given time period, for the actual amount of the commodity supplied to the user over the given time period, based on the actual amount of the commodity provided to the user and an accuracy of the forecast of the amount of the commodity received from the user, the accuracy being determined by a difference between said forecast and the actual amount of the commodity supplied to the user over the given time period. The user is then charged to determined price.

Abstract: The present invention is a system and method for optimizing power on a smart grid network. The system includes one or more units, such as a smart home, each having a control center with a historical database. The control center is in digital communication with a network component of a smart grid. Historical data including a soft window period and a hard window period representing acceptable start times for one or more flexible ADLs are stored in the historical database. The network component receives historical data for the flexible ADLs from multiple control centers. The network component, which creates a schedule based at least in part on the historical data and transfers energy to the control center according to the schedule. While scheduling, the network component manages peak load, energy tariffs, penalties, forecasting of non-ADL demand, and forecasting of supply over the scheduling horizon among other things.

Abstract: An integrated microgrid management system includes hardware operating as a node on an electrical power network. The node includes memory storing program code, a communications channel operatively connected to a plurality of controllable power devices, and a processor. In an embodiment, the processor is configured to implement a three-phase AC unbalanced model of a microgrid network, for both low and medium voltage networks. The processor is further configured to implement a topology processor that creates a map identifying controllable power devices that are connected to the network and how said controllable power devices are connected. The processor also implements an online power flow engine that uses the map and the three-phase AC unbalanced model of the network to generate commands to control the plurality of controllable power devices. Adaptive self-configuration logic and an optimization engine that performs multi-objective optimization are further disclosed.

Abstract: A vehicle includes: a power receiving device configured to receive electric power from a power transmitting unit of a power transmitting device disposed outside the vehicle; a power storage device that stores the electric power received by the power receiving device; an operation device that receives a user's operation, the user's operation including a starting operation performed by a user to start a vehicle system, and a stopping operation performed fey the user to stop the vehicle system; and an electronic control unit configured to i) perform control of executing timer charging of the power storage device based on a time schedule, and ii) perform a process of performing, charging of the power storage device regardless of the timer charging having been set when the timer charging is set and the operation device has received the user's operation before a charging start time based on the time schedule arrives.

Abstract: An apparatus is provided for performing validation, estimation, and editing (VEE) on interval based energy consumption streams. The apparatus includes a VEE processor and a VEE configuration engine. The VEE processor executes VEE rules on each of the interval based energy consumption streams within a specified time period to generate and store corresponding post VEE readings that are stored in a post VEE readings data stores. The post VEE readings include tagged energy consumption data sets that are each associated with a corresponding one of the interval based energy consumption streams. Each of the tagged energy consumption data sets has groups of contiguous interval values tagged as having been validated.

Abstract: An apparatus is provided for performing validation, estimation, and editing (VEE) on interval based energy consumption streams. The apparatus includes a VEE processor and a VEE configuration engine. The VEE processor executes VEE rules on each of the interval based energy consumption streams within a specified time period to generate and store corresponding post VEE readings that are stored in a post VEE readings data stores. The post VEE readings include tagged energy consumption data sets that are each associated with a corresponding one of the interval based energy consumption streams. Each of the tagged energy consumption data sets has groups of contiguous interval values tagged as having been validated.

Abstract: The present disclosure provides a computer-implemented method for ranking one or more control schemes for controlling peak loading conditions and abrupt changes in energy pricing of one or more built environments associated with renewable energy sources. The computer-implemented method includes analysis of a first set of statistical data, a second set of statistical data, a third set of statistical data, a fourth set of statistical data and a fifth set of statistical data. Further, the computer-implemented method includes identification and execution of the one or more control schemes. In addition, the computer-implemented method includes scoring the one or more control schemes by evaluating a probabilistic score. Further, the computer-implemented method includes ranking the one or more control schemes to determine relevant control schemes for controlling real time peak loading conditions and abrupt changes in energy pricing associated with the one or more built environments.

Abstract: For informing a user of a current battery SOC (State Of Charge) value (%) and a cost required for a full charging, an apparatus for providing charging information of an electric vehicle includes storage that stores chargeable capacity information of a battery mounted in the electric vehicle, a communication module that receives a charging fee schedule of a charging station, a controller area network (CAN) connection module that acquires charged amount information corresponding to a current SOC value of the battery, a controller that calculates an expected charging cost based on the chargeable capacity information of the battery, the charged amount information corresponding to the current SOC value of the battery, and the charging fee schedule, and a displaying assembly that displays the calculated expected charging cost and the current SOC value of the battery.

Abstract: The present disclosure involves systems, software, and computer-implemented methods for implementing a data transfer control based on information received from connected devices. In one instance, operations include loading an expected usage amount for a group of connected devices. Signals representing actual usage amounts associated with the group are received from at least device in the group. The actual usage amounts can be compared to the expected usage amount. An authorization of at least one payment-related action associated with the at least one group of connected devices is automatically transmitted to a payment system in response to determining that the usage amount is less than or equal to the expected amount, and at least one instruction to perform a corrective action associated with the group is automatically transmitted to at least one connected device of the group in response to determining that the actual amount exceeds the expected amount.

Abstract: Systems, methods and non-transitory computer-readable storage mediums are disclosed for cloud computing engineering, solar PV (SPV) or solar PV with storage (SPV/S) system configuration, pricing, quoting, advertising messaging, sales lead generation, and content marketing.

Abstract: The present disclosure provides a computer-implemented method for prioritizing one or more instructional control strategies to reduce time-variant energy demand of a built environment associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes parsing and comparison of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes identification and prioritization of one or more instructional control strategies to reduce the time-variant energy demand associated with the built environment.

Abstract: A building energy system includes HVAC equipment, green energy generation, a battery, and a predictive controller. The HVAC equipment provide heating or cooling for a building. The green energy generation collect green energy from a green energy source. The battery stores electric energy including at least a portion of the green energy provided by the green energy generation and grid energy purchased from an energy grid and discharges the stored electric energy for use in powering the HVAC equipment. The predictive controller generates a constraint that defines a total energy consumption of the HVAC equipment at each time step of an optimization period as a summation of multiple source-specific energy components and optimizes the predictive cost function subject to the constraint to determine values for each of the source-specific energy components at each time step of the optimization period.

Abstract: Methods and apparatus for client-selectable power source options for network-accessible service units are described. A programmatic interface is implemented to enable clients of a service to select, from among a plurality of power source categories including a renewable category and a non-renewable category, a power source category to be used for a service unit. Based on inputs received via the interface, the respective amounts of power to be obtained from renewable and non-renewable categories during a time period may be estimated. A verification operation comparing the estimated amounts to the amount of power that is actually obtained from the different sources may be performed.

Abstract: Systems and methods for battery testing are described. Some of the methods for battery testing include applying a first load impedance to a battery, applying a second load impedance to a reference voltage source, measuring a voltage between a positive terminal of the battery and a positive terminal of the reference voltage source, wherein a negative terminal of the battery is connected via a conductor to a negative terminal of the reference voltage source, and determining a condition of the battery based on the measured voltage.

Abstract: An electric vehicle can be operated according to a charging profile. A location of an electric vehicle and a time period corresponding to the location of the electric vehicle can be determined during a driving operation of an electric vehicle. A charging profile for the electric vehicle can be selected during the driving operation of the electric vehicle and based at least in part on the location and the time period. One or more functions corresponding to the charging profile can be performed on the electric vehicle and based on selecting the charging profile.

Abstract: Embodiments provide systems and methods for operating a power system to deliver energy. Embodiments include obtaining initial resource schedules for network analysis using a set of input and data validation functions; performing a network analysis with a full AC power flow in the energy system; executing a security constraint unit commitment function using transmission constraints output from the network analysis; determining an optimized outage schedule using the output of the security constraint unit commitment function; distributing the optimized outage schedule to a generation control and load management system; and directing operation of generator resources and managing loads to deliver energy to customers based on the optimized outage schedule. Numerous other aspects are provided.

Abstract: Herein are computerized techniques for generation, costing/scoring, optimal selection, and reporting of intermediate configurations for a datacenter change plan. In an embodiment, a computer receives a current configuration of a datacenter and a target configuration. New configurations are generated based on the current configuration. A cost function is applied to calculate a cost of each new configuration based on measuring a logical difference between the new configuration and the target configuration. A particular new configuration is selected that has a least cost. When the particular configuration satisfies the target configuration, the datacenter is reconfigured based on the particular configuration. Otherwise, this process is (e.g. iteratively) repeated with the particular configuration instead used as the current configuration. In embodiments, new configurations are randomly, greedily, and/or manually generated.

Abstract: A service control method and a service control apparatus, where the method includes obtaining, a current electricity grid electricity price and a quantity of to-be-executed services, determining an electricity price threshold according to the quantity of the to-be-executed services, decreasing, by the service control apparatus, a quantity of services that are about to be executed by a first quantity when the current electricity grid electricity price is greater than the electricity price threshold, and executing a service according to a reduced quantity of services that are about to be executed, or increasing, by the service control apparatus, a quantity of services that are about to be executed by a second quantity, and executing a service according to an increased quantity of services that are about to be executed when the current electricity grid electricity price is less than the electricity price threshold.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing load reduction optimization. In one aspect, a method includes accessing load reduction parameters for a load reduction event, accessing energy consumption models for multiple systems involved in the load reduction event, and performing, based on the load reduction parameters and the energy consumption models, a plurality of simulations of load reduction events that simulate variations in control parameters used to control the multiple systems. The method also includes optimizing, against a load reduction curve, the load reduction event by iteratively modifying the control parameters used in the plurality of simulations of load reduction events, and outputting the optimal load reduction event with optimized control parameters.

Abstract: A method for operating HVAC equipment includes obtaining building data for each of a plurality of time steps. The building data relates to resource usage of HVAC equipment. The method also includes calculating a recursive residual for each of a plurality of overlapping time periods using the building data. Each overlapping time period includes a subset of the plurality of time steps. The method also includes, for each of the plurality of time steps, calculating a metric based on the recursive residuals for overlapping time periods that end on or before the time step and automatically detecting a change in static factors for one or more buildings served by the HVAC equipment by comparing the metrics for the plurality of time steps based on a statistical property of the metrics.

Abstract: A service control method and a service control apparatus, where the method includes obtaining, a current electricity grid electricity price and a quantity of to-be-executed services, determining an electricity price threshold according to the quantity of the to-be-executed services, decreasing, by the service control apparatus, a quantity of services that are about to be executed by a first quantity when the current electricity grid electricity price is greater than the electricity price threshold, and executing a service according to a reduced quantity of services that are about to be executed, or increasing, by the service control apparatus, a quantity of services that are about to be executed by a second quantity, and executing a service according to an increased quantity of services that are about to be executed when the current electricity grid electricity price is less than the electricity price threshold.

Abstract: A cloud system is configured to execute method operations for communicating with connected vehicles of users having user accounts with the cloud system. One example method includes receiving a signal from of an electric vehicle that is associated to a user account. The signal of the electric vehicle is received in response to the electric vehicle parking over a charging pad of a charging unit, and the charging unit is one of a plurality of charging units located in various geo-locations. The method includes sending instructions to the charging unit to enable initiation of charge transfer to a battery of the electric vehicle upon the cloud system confirming that the user account for the electric vehicle is enabled for automatic charging upon parking over said charging pad of the charging unit.

Abstract: A vehicle includes a controller programmed to recognize a park event at a parking location, learn charging intention associated with the parking location, and, responsive to predicting an intention to charge the vehicle at the parking location and recognizing that a user has left a vicinity of the vehicle without connecting a charger, cause a device associated with the user to issue a charge reminder. The controller predicts the intention to charge based on contextual data from previous park events.

Abstract: An apparatus for multi-pad wireless charging is disclosed. The apparatus includes a plurality of primary pad apparatuses. Each primary pad apparatus is positioned to transmit power to a secondary pad apparatus of a vehicle. The primary transmitter pad apparatuses are spaced apart sufficient for each of a plurality of vehicles to be positioned over one primary pad apparatus of the plurality of primary pad apparatuses. The apparatus includes a power converter apparatus connected to each of the plurality of primary pad apparatuses, a power feed that provides power to the power converter apparatus and a sharing controller that selectively controls which of the plurality of primary pad apparatuses transmits power to a secondary pad apparatus and/or controls power sharing between the primary pad apparatuses.

Abstract: Systems and methods for controlling behind-the meter energy storage/management systems (EMSs) for battery-optimized demand charge minimized operations, including determining an optimal monthly demand charge threshold based on a received customer load profile and a customer load profile and savings. The determining of the monthly demand charge threshold includes iteratively performing daily optimizations to determine a daily optimal demand threshold for each day of a month, selecting a monthly demand threshold by clustering the daily optimal demand thresholds for each day of the month into groups, and determining a dominant group representative of a load pattern for a next month.

Abstract: An activity management device includes a data acquirer, an inferrer, an information acquirer, and an outputter. The data acquirer acquires in-residence data relating to a living environment of a user and acquired in a residence of the user. The inferrer infers a past or future change event in the lifestyle pattern of the user based on the in-residence data acquired by the data acquirer. The information acquirer acquires recommendation information which is information corresponding to the change event inferred by the inferrer and which prompts the user to perform an activity according to the change in the lifestyle pattern. The outputter outputs the recommendation information acquired by the information acquirer.

Abstract: Disclosed herein is a novel method for operating a hydropower reservoir which is an improvement over the existing single-parameter (the current month) USACE Rule Curve approach, the improvement comprising the consideration of a second parameter, namely the water level of the reservoir at the beginning of the month, in the decision-making process for operation of the reservoir.

Abstract: A method of managing device data related to a data center infrastructure includes generating, by a first server, a first portion of the device data in response to a change in a status of at least one of a plurality of data center infrastructure devices, storing, by a second server, the first portion of the device data in a database, generating, by the first server, a second portion of the device data in response to a request for data that is not contained in the database, the second portion of the device data being different than the first portion of the device data and being generated in a lightweight format, and displaying, in response to a user request, at least a portion of the device data using a user interface that is provided to the client computer by the second server.

Abstract: Deriver extracts, based on a power adjustment quantity provided from a power supply utility, a plurality of candidate combinations of power facilities that are candidates that achieve the power adjustment quantity from among a plurality of power facilities. Deriver derives a group of candidate combinations of power facilities that includes the plurality of candidate combinations of power facilities extracted. Selector selects a combination of power facilities that achieves the power adjustment quantity from among the group of candidate combinations of power facilities based on response information of each power facility in the past, the response information being information in response to a DR request.

Abstract: An image display device includes: a selection screen display control section that performs a control process that displays a selection screen on a display section, a plurality of element buttons for selecting an analysis target element being arranged within the selection screen; and a sub-image display control section that performs a control process that reads analytical condition information about an element that corresponds to an element button among the plurality of element buttons that has been selected by using pointing means from a storage section, and displays a sub-image that represents the analytical condition information with a character that is larger than a character used for the element button on the display section.

Abstract: The present invention teaches methods of performing appliance itemization based on consumption data, including: receiving at a processor the data; determining if the data includes active signals and/or inactive signals; upon detection of an active signal: detecting and estimating active water heating consumption and lighting consumption; upon detection of an inactive signal: detecting and estimating passive water heating consumption, refrigerator consumption; and detecting vacation mode.

Abstract: A cloud server includes an environment history DB storing in-room temperature history information representing a history of an in-room temperature change in a living room whose temperature is adjusted by an air-conditioner in relation to operation history information representing an operation history of the air-conditioner, an in-room environment predictor that predicts, as a predicted off-state in-room temperature, a future in-room temperature of the living room based on the in-room temperature history information and the operation history information for a case where the temperature is not adjusted by the air-conditioning apparatus, and an air conditioning setting unit that determines, based on the predicted off-state in-room temperature, a control parameter of the air-conditioner used to control the in-room temperature so as to reach a target temperature at a target time.

Abstract: Behavior information can be aggregated across multiple automated environments (e.g., across homes in a neighborhood). The automated environments can provide information about detected environment-level behavior patterns to a server. The server can aggregate the patterns across environments in a defined neighborhood and can provide neighborhood-level information back to the participating automated environments. The neighborhood-level information can be used to drive decisions and behavioral changes in individual automated environments.

Abstract: Provided is an apparatus including a new and renewable energy FinTech platform module, a new and renewable energy power generator, a new and renewable energy generated power-to-cash change control unit, a cloud computing module, and a smart economic feasibility analysis simulation module and method for encouraging participation of residents in building a new and renewable energy farm through notification of economic feasibility analysis with a new and renewable energy FinTech platform module that can guide the residents in an area where a new and renewable energy power generator is installed to jointly purchase a new and renewable energy power generator that is installed and operated in advance, set unique IDs for the residents having purchased the new and renewable energy power generator, and share the amount of daily produced electricity generated from the new and renewable energy power generator, cash exchange data, and 1:1 revenue dividends.

Abstract: An apparatus is provided for performing validation, estimation, and editing (VEE) on a plurality of interval based energy consumption streams. The apparatus includes a VEE processor and a VEE configuration engine. The VEE processor is configured to execute VEE rules on each of the plurality of interval based energy consumption streams within a specified time period to generate and store a corresponding plurality of post VEE readings that are stored in a post VEE readings data stores. The post VEE readings include a plurality of tagged energy consumption data sets that are each associated with a corresponding one of the plurality of interval based energy consumption streams. Each of the plurality of tagged energy consumption data sets has first groups of contiguous interval values tagged as having been validated and second groups of contiguous interval values tagged as having been edited.

Abstract: The subject disclosure relates to systems and methods for calculating a peak consumption threshold, and for using the peak consumption threshold to determine the likelihood of future peak resource consumption events. In some aspects, methods of the subject technology include steps for receiving resource consumption data for a plurality of utility customers, wherein the resource consumption data comprises an indication of an amount of electric power used by each of the plurality of utility customers, and calculating, using the one or more processors, a plurality of consumption averages for the resource consumption data. In some aspects, the method can further include steps for calculating a peak consumption threshold based on the consumption values for the resource consumption data.

Abstract: An occupancy based targeted marketing system for augmenting market control techniques corresponding to one or more buildings of one or more building types within a geographic subsector is provided. The system includes a subsector aggregator, an other facility occupancy estimator, and a subsector processor. The subsector aggregator receives energy consumption and outside temperature streams corresponding to a portion of the one or more buildings, and employs occupancy components to generate average occupancy components corresponding to each building type. The other facility occupancy estimator matches the average occupancy components to remaining ones of the one or more buildings not in the portion according to building type. The subsector processor uses the first and second aggregated occupancy components to modify defaults of market control devices based on the occupancy estimate to optimize targeted advertising to a flow of pedestrians and automotive vehicles in the geographic subsector.

Abstract: Methods, systems, and computer program products for determining sensor placement and a reward sharing mechanism based on shared energy forecasting information are provided herein. A computer-implemented method includes processing multiple data streams derived from multiple respective energy-related sensors within a network, wherein each of the multiple energy-related sensors is linked to a respective one of multiple spatially distributed prosumers of the network; computing an expected utility, with respect to forecast accuracy of energy production within the network, of information captured by each of the multiple energy-related sensors based on said processing; determining a reward structure for each of the prosumers of the network based on the expected utility of the information captured by the energy-related sensors linked to each of the prosumers; and outputting a reward to each of the prosumers of the network in accordance with the determined reward structure.

Abstract: An occupancy based focused marketing system for augmenting market control techniques corresponding to one or more buildings of one or more building types within a geographic subsector is provided. The system has a subsector aggregator, an other facility occupancy estimator, and a subsector processor. The subsector aggregator receives energy consumption and outside temperature streams corresponding to a portion of the one or more buildings, and employs occupancy components to generate average occupancy components corresponding to each building type. The other facility occupancy estimator matches the average occupancy components to remaining ones of the one or more buildings not in the portion according to building type.

Abstract: A method for estimating energy use in an air filtration system using a preselected air filter includes the steps of: entering filtration system information into a computer having access to dust holding capacity-pressure drop curves for a plurality of air filters; determining an estimated current energy use of the air filtration system for a current air filter in the system; and presenting the estimated energy use on a display of the computer. Proposed filters can be evaluated and filter operation and changing cycle can be optimized.

Abstract: A vehicle charging system may determine a charging schedule for an electric vehicle based on real-time cost information and a likelihood of communication errors related to charging commands. The vehicle charging system may determine a first cost to immediately charge the electric vehicle upon plug-in. The vehicle charging system may determine a second cost to delay charging the electric vehicle according to a charging schedule, the charging schedule including communicating charging commands with the vehicle at a later time. The vehicle charging system may determine a likelihood of communication errors related to the charging commands. The vehicle charging system may select a charging option of immediately charging the electric vehicle or delaying charging the electric vehicle based on the first cost, second cost, and the likelihood of communication errors.

Abstract: A facility can include a main power source. One or more facility systems can be operatively connected to the main power source. The facility can include a plurality of sensors. The plurality of sensors can be configured to acquire facility data. A plurality of energy harvesters can be operatively connected to the plurality of sensors. The plurality of energy harvesters can be configured to convert energy received in one form into another form of energy. The plurality of energy harvesters can be operatively connected to supply energy to the plurality of sensors. The plurality of sensors can be exclusively powered by energy supplied by the plurality of energy harvesters. Thus, the plurality of sensors are decoupled from the main power source. The facility can be a fixed facility or a mobile facility. The facility can be used for disaster relief or other applications.

Abstract: A description of a user is estimated based on the context of a user's past and present locations. A disclosed data-processing system continually receives data points for each user that represent spatial and/or temporal events. These events represent, for example, presence of a person at a specific geographic location such as a geographic area or point of interest (POI). The data-processing system evaluates the received data points in relation to one or more of the geographic locations, yielding results that are also based on the demographic characteristics of each visited location and the commercial characteristics of each visited location. The data-processing system evaluates the data points also to determine patterns exhibited in each user's activity or inactivity, and patterns exhibited in the distance traveled and the type of travel. The data-processing system bases the user descriptions on the results of these evaluations.

Abstract: The present invention provides a software and system to provide group control and network operations to/for a multiplicity of distributed energy storage units. In particular, the group control software and system connects multiple individual distributed energy storage units and operates those units in synchronicity to create a large virtual energy storage device. This group control system includes two methods of controlling the distributed energy storage units: through a browser-based online user portal, or though network-based, system-to-system protocols by third-party operation controllers.