Abstract: A method operating in a cloud environment to predict refrigerator usage and adjust on and off cycles accordingly to reduce energy consumption comprising of: a wireless communicating thermostat to control a walk-in refrigerator system; a wireless communicating door opening sensor; a machine-learning behavioral analysis predictive model to detect refrigerator usage; a strategy to use usage prediction to adjust the refrigerator thermostat set points to limit energy losses determined by infiltration of ambient warm air the refrigerated room.

Abstract: A cloud-based system that include a plurality of door control assembly equipped with a connected multi-function panel with a control interface to an electronic lock mechanism, a computing cloud, and a distributed software environment for administering and securely distributing digital access credentials to the door control assembly. Once received the access credentials from the software in the cloud computing, the multi-function panel releases the electronic door lock mechanism to allow access to the facility only when the matching digital credentials, for instance a PIN or other identifying code, are entered in the multi-function panel and received by the facility's guests directly from the cloud computing through a variety of digital messaging systems.

Abstract: A cloud-based system that includes a plurality of remote refrigerated appliances equipped with a communication and temperature control board with sensors interface, a computing cloud, and a distributed software environment for refrigerators operational data acquisition and storage and for developing testing and executing temperature control methods and with energy optimization techniques is provided. The communication and temperature control board activates the elements of a refrigerated appliance based on direct control of the remote distributed environment executing the temperature control method in software. The distributed software environment executing the temperature control method acquires operational data and energy consumption from the sensors connected to the remote communication and temperature control board and employs energy optimization techniques.

Abstract: A cloud-based system that include a plurality of remote refrigerated appliances equipped with a communication and temperature control board with sensors interface, a computing cloud, and a distributed software environment for refrigerators operational data acquisition and storage and for developing testing and executing temperature control methods and with energy optimization techniques is provided. The communication and temperature control board activates the elements of a refrigerated appliance based on direct control of the remote distributed environment executing the temperature control method in software. The distributed software environment executing the temperature control method acquires operational data and energy consumption from the sensors connected to the remote communication and temperature control board and employs energy optimization techniques.

Abstract: A system and methods that allow a utility or energy consumer to measure, visualize, understand, and control use of energy and other utilities is disclosed. These actions may be performed via a distributed web-enabled system. It derives and presents useful information for consumers by first providing a means for the assimilation (including real-time), maintenance, and modification of aggregated use data. The information is derived from the data by web-based software tools that provide comparison with models and the ability for consumers to share and compare their consumption. It can also include the ability to discuss and share (via text, voice, or computer algorithms) ideas and control strategies for saving energy and lowering energy use. Consumers may implement these control strategies in algorithms for manual; automatic scheduled; automatic scheduled with manual override; and dynamic rate-based control of energy/utility usage.