The present invention relates to a method of a server for controlling a water heater on the basis of artificial intelligence learning. A server for controlling a water heater according to one embodiment of the present invention receives operation information related to the water heater from the water heater, receives schedule information of a user controlling the water heater from either a terminal device or a schedule server linked to the terminal device, and uses the schedule information to generate control information for controlling the water heater.

A system for regulating a building energy supply and distribution installation, the installation including items of energy collection equipment, each of which is in an energy transfer relationship with a respective source; items of energy transformation equipment powered by the collection equipment; items of energy using equipment; the regulation system configured for defining, for the items of equipment, different respective activation states chosen according to parameters, for optimizing with regard to criteria. The system implements a method in the installation, with the following steps: regulation is performed by placing the items of equipment in respective activation states chosen according to demand and parameters, for the purpose of optimizing with regard to criteria; at an intervention instant of regulation, regulation takes forecasts relating to at least one of the parameters into account, the forecasts relating to a period after the intervention instant. A related installation includes the regulation system.

A system for regulating a building energy supply and distribution installation, the installation including items of energy collection equipment, each of which is in an energy transfer relationship with a respective source; items of energy transformation equipment powered by the collection equipment; items of energy using equipment; the regulation system configured for defining, for the items of equipment, different respective activation states chosen according to parameters, for optimizing with regard to criteria. The system implements a method in the installation, with the following steps: regulation is performed by placing the items of equipment in respective activation states chosen according to demand and parameters, for the purpose of optimizing with regard to criteria; at an intervention instant of regulation, regulation takes forecasts relating to at least one of the parameters into account, the forecasts relating to a period after the intervention instant. A related installation includes the regulation system.

The present invention relates to a method of a server for controlling a water heater on the basis of artificial intelligence learning, and a server for controlling a water heater according to one embodiment of the present invention receives operation information related to the water heater from the water heater, receives schedule information of a user controlling the water heater from either a terminal device or a schedule server linked to the terminal device, and uses the schedule information to generate control information for controlling the water heater.

Disclosed herein are WIFI and could enabled temperature control systems. The temperature control systems are configured to receive user temperature settings and preferences, and control a water heater based on the user temperature settings and preferences. The temperature control systems include two or more sampling rates for enabling a higher efficiency of operation compared to conventional water heaters.

An aspect of some embodiments of the current invention relates to an integrated system for heat distribution among a plurality of users. In some embodiments, the system includes a separate automatic control of heat distribution to each user and/or separate billing to each user. For example, a system may supply hot fluid to a plurality of apartments in a building and/or in multiple buildings. Optionally, each apartment has separate remote controlled valves controlling flow of heated fluid to the apartment and/or a sensor sensing how much heat enters and leaves the apartment in the hot fluid. In some embodiments, a processor controls the valve and/or receives data from sensors. The processor optionally controls devices that generate and/or store and/or dissipate heat. Optionally the processor predicts energy availability, costs and needs controls valves and/or devices to provide for predicted and/or unexpected needs while reduce cost of the energy.

A water heater appliance, as provided herein, may include a casing, a tank, an inlet conduit, an electric heating system, and a controller. The tank may be disposed within the casing, the tank defining an inlet and an outlet. The inlet conduit may be mounted to the tank at the inlet of the tank. The electric heating system may be in thermal communication with the tank to heat water within the tank. The controller may be in operative communication with the electric heating system. The controller may be configured to initiate a responsive-heating cycle. The responsive heating cycle may include detecting expiration of a dormant event at the water heater appliance, initiating a randomized delay period in response to detecting expiration of the dormant event, and initiating activation of the water heater appliance following the delay period.

A system and related method to analyze operation of a heating system of a building based on fuel consumption and fuel demand of the building. The system includes a database of information about the heating system of the building, a first sensor set arranged to gather fuel consumption information and a second sensor set arranged to gather fuel demand information within the building. The system includes a fuel usage and demand analysis function configured to analyze data from the first sensor set and from the second sensor set to output a determination of operation of the heating system based on consumption information and demand information.

A heat pump may include a compressor configured to compress a refrigerant, a first temperature sensor configured to detect an outdoor temperature, a second temperature sensor provided in heating pipes connected to a heating device that performs indoor heating and configured to detect a temperature of fluid flowing through the heating pipes, an outdoor heat exchanger configured to perform heat exchange between outdoor air and a refrigerant, a third temperature sensor configured to detect a temperature of the outdoor heat exchanger, and a controller. The controller may be configured to: control power to a boiler and/or to the compressor based on sensing values of the first, second, and third temperature sensors, calculate an expected efficiency of the heat pump based on the sensing value of the first temperature sensor and an initial target temperature, and control power to the boiler based on the expected efficiency.

A water heater appliance, including methods of operation, is provided herein. The water heater appliance may include a casing, a tank, an inlet conduit, an electric heating system, and a controller coupled to an auxiliary power generator. The tank may be disposed within the casing and define an inlet and an outlet. The inlet conduit may be mounted to the tank at the inlet of the tank. The controller may be operably coupled to the electric heating system and configured to initiate a heating cycle. The heating cycle may include identifying a daily peak auxiliary power period, determining a contemporary voltage reading at the water heater appliance, predicting an occurrence of the daily peak auxiliary power period from the auxiliary power generator, and heating water within the water heater at the predicted occurrence of the daily peak auxiliary power period.