A computer-implemented method monitors and/or controls domestic hot water production and/or distribution. The method includes detecting at least two real temperatures of a fluid stored in a heat storage tank at two different positions along a height of the heat storage tank at least at points in time, and acquiring a temperature distribution pattern of heat stored in the heat storage tank and/or corresponding heat distribution pattern data by applying a temperature-distribution-pattern-algorithm to the detected real temperatures detected at the points in time. The fluid is sanitary hot water, and the heat storage tank is a pressurized tank. A computer may carry out the method. The computer may be part of a system. A computer program may include instructions to cause the controller of to execute the method. The computer program may be stored on a computer-readable medium.

An indicator generating method for generating an indicator which is suitable for maintenance prediction of a water heating system is proposed. A power state indication device generates a high power consumption signal if a heating device of the water heating system is activated. The time duration of the activation is such an indicator, if no water flow is present. Furthermore, the time interval between subsequent activations is such an indicator. A predictive maintenance method processes these condition-based indicators and determines a remaining useful lifetime according to a predictive maintenance model. The predictive maintenance device outputs a maintenance signal indicating required maintenance, if the remaining useful lifetime drops below a predetermined threshold. The methods may be performed by water heating systems or beverage makers.

An electrical power distribution control system configured to issue a demand response signal to cut power to a plurality of electrical power consuming loads within an electrical power distribution network to reduce a peak power demand within an electrical power grid during a peak power demand. Unlike conventional demand response systems, the controller in each consumer residence includes both a distributed control based on the ability to track individual 24 hour usage patterns and selectively delay the demand response signal on individual resistive heating loads based on usage patterns for the purpose of reducing a likelihood of consumers experiencing effects of the reduced peak power demand.

The present invention relates to a system that allows the temperature of water inlet and outlet tubes in a water cylinder to be measured, making it possible to estimate the energy stored in the device and to estimate the times when the hot water is being used, in addition to allowing user behaviour to be predicted, anomalies in the hot water to be detected, and the power consumption of the device to be optimised. The device comprises: a water cylinder controller (100) disposed on the case; two thermocouple cables (300) for measuring the water inlet and outlet temperature in the cylinder; and an antenna (200) coupled to an antenna connector (12) in order to connect the controller (100) to another server or to the cloud, where the information is processed.

The present invention relates to a system that allows the temperature of water inlet and outlet tubes in a water cylinder to be measured, making it possible to estimate the energy stored in the device and to estimate the times when the hot water is being used, in addition to allowing user behaviour to be predicted, anomalies in the hot water to be detected, and the power consumption of the device to be optimised. The device comprises: a water cylinder controller (100) disposed on the case; two thermocouple cables (300) for measuring the water inlet and outlet temperature in the cylinder; and an antenna (200) coupled to an antenna connector (12) in order to connect the controller (100) to another server or to the cloud, where the information is processed.

A method and system of providing hot water efficiently. A cost of heating a volume of water to a predetermined temperature in a first water heater is determined. A cost of transferring a volume of hot water from a second water heater of a network of interconnected water heaters to the first water heater is determined. Upon determining that the cost of transferring the volume of hot water from the second water heater is lower than the cost of heating the volume of water of the first water heater, the second water heater transfers at least part of the volume of hot water to the first water heater. Otherwise, the volume of water is heated to the predetermined temperature in the first water heater.

A method for controlling a distribution temperature of domestic hot water implemented in a management unit of an installation for producing domestic hot water and including steps for obtaining mean temperatures of the distributed hot water, determined by time ranges and measured by one or more divisional distribution meters in the course of a reference period; obtaining a minimum value and a maximum value of these temperature averages in order to determine a temperature condition of the distributed hot water from at least the maximum value or the minimum value, and from at least one predefined temperature threshold, and, if the distribution condition determined is met, sending a sequence controlling the production temperature to the production installation. Also, a distribution installation, a distribution meter and a unit for managing the distribution of domestic hot water.

A method for controlling a distribution temperature of domestic hot water implemented in a management unit of an installation for producing domestic hot water and including steps for obtaining mean temperatures of the distributed hot water, determined by time ranges and measured by one or more divisional distribution meters in the course of a reference period; obtaining a minimum value and a maximum value of these temperature averages in order to determine a temperature condition of the distributed hot water from at least the maximum value or the minimum value, and from at least one predefined temperature threshold, and, if the distribution condition determined is met, sending a sequence controlling the production temperature to the production installation. Also, a distribution installation, a distribution meter and a unit for managing the distribution of domestic hot water.

A method for remotely diagnosing an abnormality in a climate control device includes the following steps: (a) receiving, at a diagnostic device remote from the climate control device, a signal representing one or more operating parameters of the climate control device, (b) generating, at the diagnostic device, an operating state metric at least partially from the signal representing the one or more operating parameters, (c) comparing, at the remote diagnostic device, the operating state metric to a reference metric, and (d) diagnosing, at the remote diagnostic device, the abnormality in response to a difference between the operating state metric and the reference metric.

A method for identifying an electric water heater having excessive and abnormal electricity consumption for detecting inefficiency or even a malfunction comprising the following steps: The present invention provides a method for automatic detection of inefficient household heater within a group of monitored households, implemented by a server module and a plurality of household client modules, wherein each of said a server module and plurality of household client modules comprising one or more processors, operatively coupled to non-transitory computer readable storage devices, on which are stored modules of instruction code, wherein execution of said instruction code by said one or more processors implements the following actions: acquiring data relating to each monitored household, including at least part of: environmental conditions, power consumption of each water heater, household profile parameters, and household residents' profile parameters; detect events wherein the water heater's power consumption (P) surpasses a predefined threshold (Pth), and henceforth label said detected events as “water heater activation” events; For each house (i) in the training set, and per each consumption day (d), define a binary label L.sub.id. Said label marks the water heater's activity as either ‘Normal’ or ‘Abnormal’ per house i and day d. Initialize all labels as ‘normal training a machine learning algorithm, to create at least one classification model, wherein all monitored households are classified according to said acquired data and parameters; and Using the Activation Events Classification Model after the training stage, to predict the binary label, L.sub.id, or number activation per day that a specific household (i), from beyond the household training set has surpassed a predefined number of water heater activation events (n) within a day.