The present invention provides systems and methods for providing cross-device native functionality for a native app. More specifically, the invention is directed to a JavaScript Object Notation (JSON) data exchange format for use with a native app running on a user's mobile device, wherein the exchange format is configured to improve user experience and interaction with the app. The present invention may be particularly useful in a mobile-based crowdsourcing platform in which data is continually exchanged between remote user devices and a cloud-based service for collecting and managing user-driven data based on user interaction with native apps on their devices.

Techniques and architectures are disclosed for power-adjustable furniture management systems and methods. The system includes a first power-adjustable furniture and a second power-adjustable furniture connected to an electrical source. The first power-adjustable furniture is communicatively coupled to a computing device. The computing device includes a processor, and a power management mode executable by the processor. The power management mode is configured to adjust the first power-adjustable furniture. The power management mode is further configured to prevent the first power-adjustable furniture from being adjusted while the second power-adjustable furniture is operated. The computing device is communicatively coupled to a server computer via the network.

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.

An air-conditioning system includes: a controller configured to: extract a lower limit load that occurs at a minimum, in a load that occurs in an air-conditioned space and that changes depending a time period; distribute a proportion at which the extracted lower limit load is to be processed, as a processing proportion stored in a memory; control each of air-conditioning apparatuses that are at a second place and subsequent places in apparatus rankings, such that the lower limit load is processed and distributed, and to control an air-conditioning apparatus that is at a first place in the apparatus rankings, such that a remaining load of the lower limit load and a fluctuating load that occurs over the lower limit load are processed.

The present invention relates to a home appliance which can communicate with an outside of the home appliance, an online system including the same and a method for using an online system. According to embodiments of the present invention, a home appliance, an online system and a method for using an online system may be provided, each including a WiFi communication module mounted or connected to the home appliance for supporting a setting mode for making communication connection and a use mode for enabling communication, and a particular input unit provided to run the setting mode by user's selection, wherein the home appliance is changed to the use mode upon reception of SSID (Service Set Identifier; a name of a wireless LAN) information of an access point AP desired to access and user information required for registration of the home appliance through an external terminal after access to the setting mode through the external terminal provided separate from the home appliance.

The present disclosure provides a dispatch method and apparatus for controlling a combined heat and power CHP system. The CHP system includes CHP units, non-CHP thermal units, wind farms and heating boilers; the CHP units, the non-CHP thermal units and the wind farms form an electric power system EPS of the CHP system; the CHP units and the heating boilers form a central heating system CHS of the CHP system; and the EPS and the CHS are isolable. The method includes: establishing a combined heat and power dispatch CHPD model, an objective function being a minimizing function of a total generation cost of the CHP units, the non-CHP thermal units, the wind farms and the heating boilers; solving the CHPD model based on Benders decomposition to obtain dispatch parameters for the EPS and the CHS; and controlling the EPS and the CHS according to the corresponding dispatch parameters respectively.

A system and approach for verifying and validating a room condition and its behavior in a critical environment. The system and approach may be a room controller built on top of a Niagara framework or launched from a Niagara workbench, and leverages extensible of Niagara. The system and approach may be web-based and used to test and verify the room condition per preset conditions. The system may have steps or tabs. They may incorporate screens for a create/open task, select test zone, read flow, hood/booster, T-stat set-up or temperature lever set-up, visual checks, and a report. One may create a new task and edit any existing task on the controller. One may move from task to task in either direction or go directly to the report of a completed task.

A distributed electrical system includes a plurality of engine components each in electrical communication with one of a plurality of docking stations. An electronic engine control is positioned remote from the engine components and is configured to communicate wirelessly with each of the plurality of engine components.

Provided are a yawing control method and a yawing control device for a wind turbine. The yawing control method includes: acquiring first wind information at a current moment characterized by current operation data of a neighbor wind turbine adjacent to the wind turbine when at least one of a wind direction sensor and a wind direction data uploading path of the wind turbine fails; acquiring second wind information matched with the first wind information in wind information characterized by historical operation data of the wind turbine at all moments; and performing yawing control on the wind turbine based on the second wind information.

Disclosed are exemplary embodiments of systems and methods for facilitating scheduling of comfort controllers such as thermostats. In an exemplary embodiment, a comfort controller is operable to control one or more configurations of a climate control system for providing climate control in a structure. The comfort controller is operable in accordance with a user-selected one of a plurality of stored weekly schedules for operation of the one or more configurations, where each of the plurality of stored weekly schedules provides a plurality of daily time slots and temperature set points, and is based on user-specifications, and where the user-selected weekly schedule is wirelessly received by and completely replaces a current operating weekly schedule on the comfort controller.