A system, method and apparatus for remote control of a thermostat by a network-based server, when the thermostat is not connected to a local or wide-area network. A network-based server calculates a modified temperature profile for a thermostat based on a utility's time-of-use pricing and/or weather forecasts. After the server has calculated the modified temperature profile, it is provided to a mobile device via a wide-area network, and the mobile device provides the modified temperature profile directly to the thermostat when the mobile device is within range of the thermostat.

A heat source system managing device includes: a predicted heat demand upper limit calculating unit configured to calculate a predicted heat demand upper limit by adding a prediction error to a predicted heat demand value for a heat source system; an operation plan preparing unit configured to prepare an operation plan of the heat source system to supply heat of the predicted heat demand upper limit to a consuming facility; a surplus stored heat quantity calculating unit configured to repeatedly perform a process of calculating a surplus stored heat quantity by subtracting a heat quantity consumed by the consuming facility from the predicted heat demand upper limit; and an operation plan changing unit configured to sequentially change the operation plan by decreasing a future operation rate of a refrigerator to cancel the surplus stored heat quantity.

A system includes a network device installed at a site, the network device including an operating condition configured to be altered by an input initiated external to the site. The system also includes at least one multi-user configurable geographical boundary capable of being established about the site to alter the operating condition in response to a location based information of a user relative to the site and the geographical boundary. A method of managing a site includes detecting a network device installed at a site, the network device having an operating condition configured to be altered by an input initiated external to the site. The method also includes enabling configuration of at least one multi-user configurable geographical boundary capable of being established about the site to alter the operating condition in response to a location based information of a user relative to the site and the geographical boundary.

A method for controlling an environmental system may include defining a reference signal of an environmental variable in a greenhouse. The method may also include receiving renewable resource information related to the greenhouse. The method may further include receiving dynamic weather information of an environment external to the greenhouse. In addition, the method may include determining an optimization control scheme based on the reference signal, renewable resource information, and dynamic weather information. Further, the method may include regulating environmental conditions in the greenhouse according to the optimization control scheme.

An air information management apparatus includes: an obtainer that obtains an air state of a target area from a sensor installed in the target area or an area surrounding the target area; storage in which an air state record that is a record of the air state obtained by the obtainer is stored; an information processor that derives, from the air state record stored in the storage, statistical information on the air state measured for the target area during a predetermined period; and a display controller that causes the display apparatus to display, as information indicating an air environment in the target area, the statistical information derived by the information processor.

A method of minimizing compressor use in an HVAC system for an IT space includes configuring an HVAC system to cool an IT space, providing a control system to operate the HVAC system, the control system having software configured to calculate economization mode minimum achievable X-Factor for a predetermined period of time, providing at least one parameter to the control system, the at least one parameter including X-Factor history and period weather forecast(s), setting temperature set points for each forecast interval, and analyzing the temperature set points according to maximum and minimum temperature parameters for the IT space, with intervals with set points violating the maximum temperature parameter being designated as intervals for which the compressor will operate while intervals with set points violating the minimum temperature parameter are assigned the minimum temperature set point.

A method for monitoring or controlling equipment of a building includes receiving a first timeseries comprising first data samples of a first variable monitored or controlled by a system and a second timeseries comprising second data samples of a second variable monitored or controlled by the system. The first data samples are at least partially asynchronous with the second data samples. The method includes synchronizing the first timeseries with the second timeseries by aggregating both the first timeseries and the second timeseries using equivalent aggregation intervals. Aggregating the first timeseries generates a third timeseries comprising aggregated values of the first variable and aggregating the second timeseries generates a fourth timeseries comprising aggregated values of the second variable. The method includes performing an automated operation to monitor or control the equipment of the building using the synchronized data samples of the third timeseries and the fourth timeseries.

An air conditioner which is controlled to operate by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for the Internet of Things and an operating method of an air conditioner are provided. The air conditioner includes a communicator, a command input, an operation manipulator, and a controller. The communicator collects weather information and operation information of at least one connected devices. The command input receives a manipulation command of a user. An operation manipulator adjusts at least one of whether to operate the air conditioner for cooling/heating, a temperature, a wind volume, or a wind direction of the air conditioner. The controller derives a first customized value based on a manipulation command input by the command input and information collected by the communicator and controls the operation manipulator in accordance with the first customized value.

A heating, ventilation, and air conditioning (HVAC) control device configured to generate the machine learning model using the first set of weights and the second set of weights. The machine learning model is configured to output a probability that a user is present at the space based on an input that identifies a day of the week and a time of a day. The device is further configured to determine a probability that a user is present at the space for a predicted occupancy schedule using the machine learning model, to determine an occupancy status based on a determined probability that a user is present at the space, and to set a predicted occupancy status in the predicted occupancy schedule based on a determined occupancy status for each time entry. The device is further configured to output the predicted occupancy schedule.

A system is configured to remotely determine characteristics of a local operating environment of an outdoor condenser unit. The system includes a detector configured to sample power consumption of the condenser unit to obtain a sampled power consumption time series. An analyzer receives the sampled time series of the detector and determines characteristics of a local operating environment of the condenser unit from the power consumption time series. The analyzer generates an output that includes information about the local operating environment.