Abstract: Systems and methods are disclosed for control voltage profiles, line flows and transmission losses of a power grid by forming an autonomous multi-objective control model with one or more neural networks as a Deep Reinforcement Learning (DRL) agent; training the DRL agent to provide data-driven, real-time and autonomous grid control strategies; and coordinating and optimizing power controllers to regulate voltage profiles, line flows and transmission losses in the power grid with a Markov decision process (MDP) operating with reinforcement learning to control problems in dynamic and stochastic environments.

Abstract: A fast search method and system for cascading failures in hybrid AC/DC power systems. The fast search method for cascading failures in hybrid AC/DC power systems includes: Determining the initial failures and forming a failure set of the first-stage failure, setting the DC blocking or the failure level reaching the threshold as the search stop condition; Judge the cascading failures in the failure set of the current stage can trigger DC blocking, if a cascading failure can trigger DC blocking, store the DC blocking failure as the next-stage failure. Otherwise, cascading failures are searched on the AC side and the failure set of the next stage is determined based on the pruning search method and the outage risk value; If the search stop condition is satisfied, stop the search, otherwise, the number of failure stages is increased by one and return to judge the cascading failures to continue the search.

Abstract: A method of operating an ESS with optimal efficiency includes: collecting charge/discharge efficiency data of a PCS; collecting charge/discharge efficiency data of a battery depending on current state of charge of the battery; creating charge/discharge efficiency data of a unit BESS including the PCS and the battery by using the collected data; determining optimal charge/discharge levels of at least two unit-BESSs included in the ESS by using charge/discharge efficiency data of the at least two unit-BESSs to satisfy commanded input/output power values of the whole ESS at a current point of time; and charging or discharging the at least two unit-BESSs depending on the determined optimal charge/discharge power values.

Abstract: A voltage stability prediction system is configured to predict voltage stability of a power system under a contingency. The voltage stability prediction system in this regard may execute model-based contingency analysis using a model of the power system to predict, as of a first time, voltage stability of the power system post-contingency. The voltage stability prediction system also obtains, from phasor measurement units (PMUs) in the power system, synchrophasor measurements that indicate, as of a second time later than the first time, phasors in the power system pre-contingency. Further, based on the model-based contingency analysis and the synchrophasor measurements, the voltage stability prediction system predicts, as of the second time, voltage stability of the power system post-contingency.

Abstract: Flexible AC transmission system (FACTS) enabling distributed controls is a requirement for power transmission and distribution, to improve line balancing and distribution efficiency. These FACTS devices are electronic circuits that vary in the type of services they provide. All FACTS devices have internal circuitry to handle fault currents. Most of these circuits are unique in design for each manufacturer, which make these FACTS devices non-modular, non-interchangeable, expensive and heavy. One of the most versatile FACTS device is the static synchronous series compensator (SSSC), which is used to inject impedance into the transmission lines to change the power flow characteristics. The addition of integrated fault current handling circuitry makes the SSSC and similar FACTS devices unwieldy, heavy, and not a viable solution for distributed control. What is disclosed are modifications to FACTS devices that move the fault current protection external to the FACTS device and make them modular and re-usable.

Abstract: A method includes receiving, via a processor, a unit configuration for a fluid mixing and dispensing system, where the unit configuration includes one or more fluid hardware components. The method also includes determining one or more software modules corresponding to the one or more fluid hardware components and configuring a modular plural component platform by loading the one or more software modules corresponding to the one or more fluid hardware components.

Abstract: A method for enabling network communication relating to a food preparation asset may include receiving, from a third party participant, a registration request to join a community including asset operators that operate at least one food preparation asset, registering the third party participant as a community member, providing the third party participant with access to a communication network for sharing information related to the asset, receiving data indicative of asset related activity, providing the third party participant with data indicative of asset related activity, and enabling the third party participant to establish communications with the asset or asset operators via the communication network based on the data indicative of asset related activity.

Abstract: A main computing system maintains and optimizes a predictive control model for an energy system, wherein the main computing system receives state information for the energy system, optimizes the predictive control model, and generates control rules for control of the energy system. The one or more local computing systems, each have a local memory for storing control rules for controlling the associated local state. The main computing system receives local state information and updates control rules, wherein the updated control rules comprise a subset of the control rules generated by the main computing system selected to be appropriate to the local state information received at the main computing system.

Abstract: A distribution network risk identification system and method and a computer storage medium include: multi-source information data for risk identification is acquired; the multi-source information data is analyzed and processed to obtain a risk characteristic; a risk identification index is calculated on the basis of the risk characteristic, and a state of a power grid is determined according to the risk identification index; a temporal and spatial variation rule and variation trend of the risk characteristic are analyzed; a location and cause of occurrence of a risk are determined according to the temporal and spatial variation rule and variation trend of the risk characteristic; a severity of the risk is analyzed by adopting an analogue simulation manner; and the severity of the risk is assessed, and risk early warning information is issued on the basis of an assessment result.

Abstract: Systems and methods are described herein for alerting a user that the user will be unable to view a broadcast program based on an estimated time of arrival of the user to a media consumption device, and responsively providing the user with an option to record the broadcast program. These systems and methods are performed at least by identifying a plurality of broadcast programs that are indicated on a profile of a user, receiving an estimated time of arrival of the user to a location of a media consumption device, responsively determining whether the user will be unable to view a broadcast program of the plurality of broadcast programs, responsively providing the user with an option to record the broadcast program, and responsively causing the broadcast program to be recorded.

Abstract: An abnormality cause identifying method that is applied to a computer is provided. The abnormality cause identifying method includes: outputting a control parameter that is calculated based on a detection value detected from a power converter that converts power supplied from a power supply and supplies the converted power to a load; plotting, on coordinates having at least two axes, a value that is calculated using the detection value and the control parameter; and identifying an abnormality cause based on a quadrant of the coordinates on which the value is plotted.

Abstract: Various embodiments distributively control a wind park having a plurality of wind turbines. Each wind turbine controlled by its own turbine controller. Each turbine controller determines power production capability of its dedicated wind turbine. The power production capability of the single wind turbine is communicated with a plurality of other turbine controllers in the wind park. A consensus power distribution schedule to distribute power to a power grid is determined using votes from each turbine controller in the wind park. Energy is discharged from each wind turbine to a power grid according to the power distribution schedule. When one wind turbine fails, a new power distribution schedule is determined using votes from each remaining turbine controller and energy is discharged from each wind turbine to the power grid according to the new power distribution schedule.

Abstract: Various embodiments are described herein for methods, devices and systems that can be used to track at least one emission type generated, directly or indirectly, by an entity. In one example embodiment, the system includes an emission tracking device coupled to the entity, where the emission tracking device receives a first emission data received at a first time and a second emission data received at a second time after implementation of one or more emission reduction steps. The system further includes an external processor in communication with the emission tracking device, where the external processor is configured to analyze the first emission data to determine an emission baseline, analyze the second emission data to determine a second emission output value, and determine an emission offset measurement corresponding to the at least one emission type based on the emission baseline and the second emission output value.

Abstract: Systems and methods include a method for optimizing real-time energy use, including balancing steam and condensate. Real-time equipment readings are received from plural pieces of equipment at a facility. A steam and condensate balancing model is executed using the real-time equipment readings. The steam and condensate balancing model uses specialized optimizer engine code to balance steam output and condensate output. A set-point optimization model is executed with selection optimization turned off to identify optimum values for boilers, STGs, letdowns, and deaerators. The set-point optimization model is executed with selection optimization turned on to identify optimized settings for drivers of turbines and motors. Setting updates are provided to the plural pieces of equipment based on the executing.

Abstract: An Artificial Intelligence/Machine Learning driven assessment system for monitoring electrical equipment assets includes a computer system that is configured to receive user-provided asset data associated with operation of a plurality of electrical equipment assets operated by a plurality of users/owners, where the identity of any asset in the database is restricted and only known to the user that owns/operates the asset. The computer system is configured to analyze the user data in conjunction with a pooled knowledge database so as to generate courses of action or assessments for the monitored electrical equipment assets and to update the analysis process based on feedback from a comparison of the assessment or course of action with an actual outcome.

Abstract: In one embodiment, a method includes receiving at a remote network device, power and data from a central network device, wherein the power is used to power the remote network device, performing auto-negotiation with the central network device, wherein the auto-negotiation includes operating the remote network device in a low voltage mode during fault sensing of a power circuit at the remote network device, and selecting a power operating mode, wherein selecting the power operating mode includes selecting a high voltage mode if no fault is detected during the fault sensing, the high voltage mode comprising DC (direct current) pulse power. An apparatus is also disclosed herein.

Abstract: A system and a method for managing a charging station allow charging a battery of a connected autonomous electric vehicle for carrying passengers in a controlled environment. A controller connected to the charging station determines and modulates a charging rate with which the charging station charges the battery based on a duration between a start of charging the vehicle and a forecasted time of start of duty mode of the vehicle. The duration is determined by the controller based on a forecasted passenger load as a function of time.

Abstract: A method for controlling a generator of electrical energy connected to a grid connection point of an electrical supply grid, comprising the steps of: regularly feeding electrical reactive power and electrical active power into the electrical supply grid, the generator being operated at a first working point, at which the electrical generator generates electrical reactive power and electrical active power, first interrupting or changing the feeding of the electrical reactive power and/or the electrical active power into the electrical supply grid when there is, or it is indicated that there is, a disruption in the electrical supply grid or a disruption of the feed into the electrical supply grid, resuming the regular feeding of the electrical reactive power and/or electrical active power into the electrical supply grid, the generator performing the resumption at a second working point or being ramped up to the second working point, at which the electrical generator generates and feeds in electrical reactive po

Abstract: The present disclosure is directed to a system and method for forecasting a farm-level power output of a wind farm having a plurality of wind turbines. The method includes collecting actual operational data and/or site information for the wind farm. The method also includes predicting operational data for the wind farm for a future time period. Further, the method includes generating a model-based power output forecast based on the actual operational data, the predicted operational data, and/or the site information. In addition, the method includes measuring real-time operational data from the wind farm and adjusting the power output forecast based on the measured real-time operational data. Thus, the method also includes forecasting the farm-level power output of the wind farm based on the adjusted power output forecast.

Abstract: A system includes an energy storage device geographically proximate a plurality of load centers. The energy storage device is coupled to one or more of the plurality of load centers for supplying energy to the load centers and is also coupled to an energy generation source for receiving energy from the energy generation source. The system also includes a control system that is operable to receive energy market data, monitor the plurality of load centers, the energy storage device, and the energy generation source, and control the charging and dispatching of the energy storage device based on the monitoring and the energy market data.

Abstract: A method for evaluating a building signature operational model (BSOM) associated with a building signature intelligent electronic device (BSIED) includes processing building signature operational data (BSOD) on a cloud-connected central processing unit to identify the BSIED from which the BSOD was received, and to determine if a current BSOM associated with the BSIED, and used by the BSIED to generate the BSOD, needs to be updated. In response to determining that the current BSOM needs to be updated, a new BSOM is selected for the BSIED from a BSOM library based, at least in part, on one or more characteristics associated with the BSIED. The new BSOM is transmitted to the BSIED for installation on the BSIED.

Abstract: Systems and methods cross device application discovery and/or control. Cross device application discovery and/or control can provide for simple detection and activation of applications on remote devices. Cross device application discovery and/or control can provide for the control of remote applications in a master and slave configuration. Responsive to an activation message, an application can execute a task in an application, the task being displayed on a target device. Responsive to an activation message, an application can execute a task in an application on a target device, a task context data for the task being streamed to the source device for presentation on a display. Cross device application discovery and/or control can be enabled on a single operating system, or across a plurality of operating systems.

Abstract: In the field of power system stability there is provided a method of predicting the presence of an out-of-step condition in a power system that includes a plurality of generators, the method including the steps of: (a) obtaining a differential value ({tilde over (?)}COIk) between a rotor angle (?k) of an individual one of the plurality of generators and an equivalent rotor angle (?COIk) of the centre of inertia of the remainder of the plurality of generators; (b) processing the differential value ({tilde over (?)}COIk) to determine whether the differential value ({tilde over (?)}COIk) is predicted to reach a predefined reference threshold (?threshold); and (c) predicting the presence of the out-of-step condition in the power system if the differential value ({tilde over (?)}COIk) is predicted to reach the predefined reference threshold (?threshold).

Abstract: A packaged integrated circuit includes a photodiode and a memory. The photodiode generates energy when radiation strikes a surface of the photodiode. The memory includes a plurality of non-volatile memory cells and memory control circuitry. The memory control circuitry is configured to perform an operation to change values stored in at least some of the memory cells of the plurality of non-volatile memory cells while being powered by energy generated by the photodiode. An encapsulant at least partially encapsulates the photodiode and the memory, in which the encapsulant blocks radiation from reaching the surface of the photodiode.

Abstract: Methods, computer software and apparatus for use in an electric power grid are described. Measurement data is received intermittently or continuously from a plurality of measurement units, indicating values of at least one measured characteristic at respective measurement locations. The at least one is characteristic is monitored, and it is determined, based on the monitoring, that there has been a change in electric power flow in the electric power grid. Responsive to the determination, component data is accessed relating to characteristics of components of the electric power grid involved in provision and/or consumption of electric power. Based on received measurement data relating to the change and the accessed component data, a power flow characteristic of the grid in a given time period is determined.

Abstract: System and method for providing electric utilities and utility benchmarking organizations with an integrated real-time outage analytics and benchmarking solution. The system includes a powerful data importing apparatus that allows uploading of outage data from the utilities outage databases, confidential aggregation of utility outage data, real-time comparison of reliability metrics, real-time outage analytics and messaging capabilities. The system includes a communication link for receiving raw outage data uploaded from the outage management systems of participating utilities which couples the data to an analytics server which automatically recalculates standard reliability indices and analytics in real-time. A database server aggregates and stores the data and indices. The analytics server makes data and reports available to user utilities in real-time via the internet while using a unique ID for each user utility to maintain user anonymity and data confidentiality.

Abstract: Disclosed is a method for identifying the topology of an electric power network allows for the automatic and efficient identification of network topology without the knowledge of network parameters. The method is based on the estimation of mutual current sensitivity coefficients and on an algorithm to obtain the network incidence matrix from the estimated sensitivity coefficients. This algorithm is based on the general assumption that the metering unit that is the most sensitive to the variations of the measured current in a branch connected to a particular node is the metering unit that is arranged at the physical node immediately upstream form the particular node. The method effectively considers the presence of noise in the measurements and its time correlation.

Abstract: A method and associated system for selecting a charging station for a subject vehicle is described, and includes determining a state of charge of an on-vehicle DC power source arranged to supply electric power to a propulsion system for the subject vehicle. A travel route to a destination point is determined, and locations of a plurality of charging stations proximal to the travel route are identified. Desired states and corresponding weighting factors for a plurality of user-selectable parameters are determined, and a sorting routine is executed to rank the plurality of charging stations proximal to the travel route based upon the desired states and corresponding weighting factors for the plurality of user-selectable parameters and the state of charge of the on-vehicle DC power source. One of the charging stations is selected based upon the ranking, and a charging reservation is scheduled.

Abstract: Embodiments of systems and methods for power demand management are described herein. In some embodiments the system uses demand response bidding to reduce or increase the load of a power system. Day ahead or real-time bids may be performed. In other embodiments, a virtual power plant is disclosed that dynamically aggregates multiple power assets to provide demand response services, frequency response services, and fast ramp services to the grid.

Abstract: Provided is a portable energy storage system (P-ESS) including a wireless communication module for forming a local wireless network. The P-ESS provides wireless communication between terminals within the local wireless network formed by the wireless communication module. In doing so, the terminals within the local wireless network are allowed to communicate with each other in an area or situation where communication is disabled, so that users of the terminals can check each other's safety or location.

Abstract: According to an embodiment, a multiphase regulator includes a plurality of output phases each of which is operable to deliver a phase current through a separate inductor to a load connected to the output phases via the inductors and an output capacitor. A controller is operable to regulate a voltage delivered to the load by adjusting the phase currents delivered to the load by the output phases, monitor the phase currents delivered to the load by the output phases, test the output phases in a predetermined sequence, and determine if the phase currents respond in a predetermined way.

Abstract: A micro-grid system for providing power to a load includes a plurality of gensets and energy storage units (ESU) in parallel. An asset management controller is configured to determine a genset cost function for the gensets based on at least an efficient load factor, and determine an ESU cost function based on at least the a discharge power loss (DPL) and a charge power loss (CPL). The AMC assigns a priority to each ESU and each genset based on the cost function and selectively activates the power supplies based on the priority and a power demand of the load and a reserve. The AMC determines an available reserve among activated power supplies then selectively distributes the load among activated power supplies and reserve among the available reserve.

Abstract: A controller is provided to orchestrate operations of two or more different actors or resources in completing a task. The controller orchestrates the operations based on a dependency graph that the controller generates for each received task. The dependency graph has a linked list of nodes. Each node includes a different set of operations for completing a different part of a task represented by that dependency graph. Each set of operations associated with a node may be dependent on the successful completion of a prior set of operations associated with a prior linked node in the same dependency graph. The controller may allocate different sets of operations from different nodes of the dependency graph to different human or robotic resources, and may track the status of multiple tasks in parallel based on the progression through different nodes of the corresponding dependency graphs.

Abstract: Managing control targets, in particular, load balancing processes, when controlling the supply, conversion, storage, feed, distribution, and/or use of energy in an energy network if the increasing, volatile, dynamic, decentralized, local feed and/or storage of electric energy leads to loads at different network connection levels of the energy network to control the energy supply so efficiently and sustainably that load balancing processes resulting from occurring load deviations for example are supported locally and reduced regionally and/or across network connection levels. Provided are hierarchical and network-oriented energy clusters formed within network connection levels of the energy network, and in the process, the expenditure of energy and the local exchange of energy within energy clusters are localized across clusters and/or across network connection levels via a voluntary and incentivized participation in an energy cluster service which manages the control targets in the energy network.

Abstract: The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history.

Abstract: Various implementations relate generally to a multi-sensor device. Some implementations more particularly relate to a multi-sensor device including a ring of radially-oriented photosensors. Some implementations more particularly relate to a multi-sensor device that is orientation-independent with respect to a central axis of the ring. Some implementations of the multi-sensor devices described herein also include one or more additional sensors. For example, some implementations include an axially-directed photosensor. Some implementations also can include one or more temperature sensors configured to sense an exterior temperature, for example, an ambient temperature of an outdoors environment around the multi-sensor. Additionally or alternatively, some implementations can include a temperature sensor configured to sense an interior temperature within the multi-sensor device. Particular implementations provide, characterize, or enable a compact form factor.

Abstract: A computing device can generate predictions for future consumptions for one or more buildings based on a variety of factors. The factors can include a local climate corresponding to each building, a mass and heat transfer for each building, a daily operation for each building, and an occupancy behavior for each building. A power flow can be determined for one or more power generators. The power flow can be determined based on the predictions of future consumption. A control input vector can be determined for the one or more buildings.

Abstract: A building management system including a local power system that delivers power to devices at a location, a data collector system coupled to the local power system, to monitor aggregate power used at a location, including at least one circuit based sensor configured to collect power usage data, each of the at least one sensors being clamped onto a circuit basis, and a data transmitter coupled to the at least one sensor and communicating the collected power usage data over a network to a cloud analyzer system, a tracker application configured to provide real-time reporting, alerts, and control via the network, and to be executed by a processor in an operating system (OS), in a native or virtual environment, wherein the tracker interacts with an analysis engine to map out energy use inside of a building on an individual circuit basis.

Abstract: A method is disclosed for controlling the operating of a consumption appliance by way of a selector switch controlled by an energy saving device connected to a management center. The consumption appliance is kept in its default power mode, until receiving, by the energy saving device, an authentic secured control message sent by the management center. This message includes a command onto the mode in which the consumption appliance has to be switched. A counter is initialized with an initialization value before to be triggered. The consumption appliance is switched in the mode indicated by the command, either until the counter has reached a threshold value, or until receiving another authentic control message. If the counter has reached the threshold value, then the consumption appliance is switched in its default power mode. If another authentic secured control message has been received, then returning to the step of initializing the counter.

Abstract: An energy management capsule is disclosed, being a mains-powered device with multiple sensors or electrical output controllers connected to the Internet. Web services analyse sensor data for controlling electrical outputs and providing information about significant changes to predicted sensor values. Several Energy Management Capsules may be interconnected via mains powerlines, wireless communications or wired digital networks. It reports failure of mains power supply.

Abstract: A smart distribution power grid (SDPG) system has at least one micro-grid, each comprising a set of intelligent entities and a set of external Smart Distribution Nodes, and a communication system enabling communication within the set of intelligent entities, forming an overlay communication network on the microgrid. The communication system is deployed on the micro-grid in a manner minimizing installation cost, communication cost and overall maintenance cost of the SDPG.

Abstract: A system operation support device in a power system stabilizes the power system and has a predicted accident time system state calculation unit that receives measured data, a system topology, and a target accident type as inputs, and calculates a system state and a predicted accident time system state. A control menu calculation unit receives the results of the predicted accident time system state as inputs and calculates a control menu. A restoration control means calculation unit receives the result of the control menu calculation as an input and calculates a restoration control procedure. A restoration prevention control procedure calculation unit receives the result of the restoration control and a target restoration time parameter as inputs and performs a power generator output adjustment time simulation, a necessary prevention control amount calculation, and a prevention control procedure calculation. A display unit displays the restoration control procedure and the prevention control procedure.

Abstract: Systems and methods for testing a protection relay, such as a primary bus protection relay, may include a testing device for providing current signals imitating current on both sides of a bus to the primary bus protection relay. The signals may be provided using signals corresponding with a signal format from merging units or other monitoring devices. The testing device may be configured to receive communications from the primary bus protection relay for evaluation of the operation of the primary bus protection relay.

Abstract: Provided is a system for seamless power conversion in DC power distribution, the system including power conversion devices connected in parallel, and performing conversion from a AC voltage to a DC voltage between an AC power distribution network and a DC power distribution network, wherein a master power conversion device among the power conversion devices converts the AC voltage supplied from the AC power distribution network into the DC voltage including an AC voltage at a preset level, and supplies the DC voltage to a DC power distribution line of the DC power distribution network, and the remaining power conversion devices that are slave power conversion devices detect the DC voltage at the DC power distribution line in real time, and when the AC voltage is not sensed from the detected DC voltage, one of the slave power conversion devices is converted into a master power conversion device.

Abstract: A power outage detection system may include a device processor; and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving information indicative of the status of electrical power at a plurality of locations within a geographic region; determining the status of electrical power in the geographic region based on the status of electrical power at the plurality of locations; and sending information regarding the status of electrical power to a plurality of users of the system.

Abstract: An information processing device according to one aspect of the present invention includes a first acquirer configured to acquire measured data of a sensor, a second acquirer configured to acquire maintenance information related to maintenance performed on the sensor, a learner configured to learn teacher data in which the acquired maintenance information as label information is associated with the acquired measured data to generate a determination model, and a storage storing the generated determination model.

Abstract: An electrical substation for a wind farm is configured to raise or to lower the voltage of the electricity generated by wind turbines of the wind farm in order to ensure the transmission thereof to an electricity distribution network. It includes n modules, n being an integer at least equal to 2, these modules being identical in terms of shape and exterior dimensions. Each module encloses at least one electrical transformer configured to raise or to lower the voltage, these modules being linked to one another so as to be able to deliver to the network an overall electrical power equal to the sum of the powers of each transformer.

Abstract: An apparatus (240) and method for charging a plurality of mobile energy storage and power consumption devices (202) may control determining a power charging schedule for charging a battery of at least one of the devices (202), in accordance with charger availability information, transactive energy information, the current location of the one device, mobile energy storage and power consumption device information and information indicating predetermined timing for providing a predetermined minimum charge level at the device, and transmitting a charging instruction signal for charging the battery of the at least one device using electric power supplied from a distribution power grid (10, 204) or an alternative power resource (218), according to the power charging schedule.

Abstract: A computer device and method for processing risk related data to determine one or more insurance products for appliances and other systems located in or on an insured property. Informatic data is received from one or more informatic sensor devices relating to one or more appliances located in or on an insured property. Analysis is performed on the received informatic data to determine one or more insurance products to be recommended for at least one appliance located in or on the insured property. Notification is provided regarding determination of the one or more insurance products for the at least one appliance located in or on the insured property.

Abstract: A method of communication between a user terminal powered by a battery and a base station allowing optimization of the management of the battery of the user terminal, includes a step of selecting from among terminals, termed surrounding terminals, powered by battery and situated in a zone within range of the base station, terminals whose distance with the user terminal is less than a predetermined distance and whose battery level is greater than a predetermined threshold, termed neighbour terminals, a step of configuring the neighbour terminals and the user terminal by way of a configuration setpoint, a step of transmitting data between the user terminal and the base station according to the configuration setpoint defining at least one neighbour terminal through which the data pass.