Abstract: A home energy efficiency platform is described having as its fundamental component a network-connected, multi-sensing learning thermostat that leverages a visually pleasing interactive display associated therewith to encourage energy-saving behavior by a competitive gamesmanship modality, either in terms of self-competition in which a users energy-saving performance is measured against themselves over time, or in terms of community competition in which a users energy-saving behavior is measured against a relevant community.

Abstract: HVAC schedules may be programmed for a thermostat using a combination of pre-existing schedules or templates and automated schedule learning. For example, a pre-existing schedule may be initiated on the thermostat and the automated schedule learning may be used to update the pre-existing schedule based on users' interactions with the thermostat. The preexisting HVAC schedules may be stored on a device or received from a social networking service or another online service that includes shared HVAC schedules.

Abstract: Voltage is detected on both sides of a protection fuse within a thermostat, such that a determination can be made as to the status of the fuse. When a blown fuse is detected, the user can be notified via (1) an error message on the thermostat display, and/or (2) a message on another device such as a mobile device and/or web-client device. According to some embodiments the thermostat manufacturer is notified via network connection. According to some embodiments drain voltage is measured on MOSFETs used in the thermostat for switching on and off HVAC functions. If an over-current is detected on a FET switch, it immediately turned off and a fault indictor is sent to the microcontroller. The FET switch remains “off” until it is re-enabled under control of the microcontroller.

Abstract: The current application is related to environmental-conditioning systems controlled by intelligent controllers and, in particular, to an intelligent-thermostat-controlled HVAC system that detects and ameliorates control coupling between intelligent thermostats. Control coupling can lead to inefficient HVAC operation. When control coupling is detected, a settings-adjustment directive is sent to at least one intelligent thermostat to adjust one or more intelligent-thermostat settings, including an HVAC-cycle-initiation delay parameter, swing parameter, and a parameter that indicates whether or not an intelligent thermostat should first obtain confirmation or permission before initiating an HVAC cycle.

Abstract: An occupancy sensing electronic thermostat is described that includes a thermostat body, an electronic display that is viewable by a user in front of the thermostat, a passive infrared sensor for measuring infrared energy and an infrared energy directing element formed integrally with a front surface of the thermostat body. The passive infrared sensor may be positioned behind the infrared energy directing element such that infrared energy is directed thereonto by the infrared energy directing element. The thermostat may also include a temperature sensor and a microprocessor programmed to detect occupancy based on measurements from the passive infrared sensor.

Abstract: A smart-home device includes a user interface including an electronic display having a first display mode and a second display mode, the first display mode generally requiring more power than said second display mode. The device also includes a processing system in operative communication with one or more environmental sensors for determining at least one environmental condition. The device additionally includes at least one sensor configured to detect a physical closeness of a user to the at least one sensor. The processing system may be configured to cause the electronic display to be in the first display mode when a closeness threshold has been exceeded, where the processing system is further configured to automatically adjust the closeness threshold based at least in part on a historical plurality of physical closeness events as detected by the at least one sensor.

Abstract: Provided according to some embodiments is a thermostat is capable of discerning the time-of-day without external input. Should the user fail to set the time, the thermostat uses one or more sensors to determine the time-of-day through a variety of techniques. In one example, a light sensor can monitor natural light to understand the cycle of sun with respect to the installation location. From the cycle of natural light a latitude, time-of-year, time-of-day, etc. can be estimated through processing sensor information over time. Should the thermostat have its time manually set or gathered from the network, it would override the estimated time-of-day. Techniques can be used filter input from the one or more sensors to avoid confusion from other inputs, for example, man-made lighting.

Abstract: Systems and methods for providing registration at a remote site that may include, for example, a monitoring module that may communicate with a remote site. A registration protocol may be used by the monitoring module and the remote site in generating the messages communicated during the registration process. The monitoring module may gather and generate various identification information to be included in the registration protocol messages. The registration information provided by the monitoring module may be stored at the remote site in a database server having a database. A confirmation message may be communicated from the remote site to the monitoring module that may either acknowledge successful registration or report that an error occurred during the registration process.

Abstract: Apparatus, systems, methods, and related computer program products for synchronizing distributed states amongst a plurality of entities and authenticating devices to access information and/or services provided by a remote server. Synchronization techniques include client devices and remote servers storing buckets of information. The client device sends a subscription request to the remote serve identifying a bucket of information and, when that bucket changes, the remote server sends the change to the client device. Authentication techniques include client devices including unique default credentials that, when presented to a remote server, provide limited access to the server. The client device may obtain assigned credentials that, when presented to the remote server, provide less limited access to the server.

Abstract: Embodiments of the invention describe thermostats that are configured to precondition an enclosure and methods for performing the same. According to one embodiment, a method of preconditioning an enclosure includes providing a thermostat and computing a set of preconditioning criteria information (PCI) with said thermostat. The computed PCI is typically representative of time and ambient temperature conditions for which preconditioning should be performed. The PCI may be stored in memory and used to compare against a current time and current ambient temperature condition of the enclosure to determine whether to enter the thermostat into a preconditioning state. If a determination is made that the PCI criteria are satisfied, the thermostat may be entered into the preconditioning state to heat or cool the enclosure. One or more of these processes may be performed while a processor of the thermostat is in a relatively high power mode or relatively low power mode.

Abstract: The current application is directed to intelligent controllers that initially aggressively learn, and then continue, in a steady-state mode, to monitor, learn, and modify one or more control schedules that specify a desired operational behavior of a device, machine, system, or organization controlled by the intelligent controller. An intelligent controller generally acquires one or more initial control schedules through schedule-creation and schedule-modification interfaces or by accessing a default control schedule stored locally or remotely in a memory or mass-storage device. The intelligent controller then proceeds to learn, over time, a desired operational behavior for the device, machine, system, or organization controlled by the intelligent controller based on immediate-control inputs, schedule-modification inputs, and previous and current control schedules, encoding the desired operational behavior in one or more control schedules and/or sub-schedules.

Abstract: The current application is directed to intelligent controllers that use sensor output and electronically stored information, including one or more of electronically stored rules, parameters, and instructions, to determine whether or not one or more types of entities are present within an area, volume, or environment monitored by the intelligent controllers. The intelligent controllers select operational modes and modify control schedules with respect to the presence and absence of the one or more entities. The intelligent controllers employ feedback information to continuously adjust the electronically stored parameters and rules in order to minimize the number of incorrect inferences with respect to the presence or absence of the one or more entities and in order to maximize the efficiency by which various types of systems controlled by the intelligent controllers carry out selected operational modes.

Abstract: A thermostat, includes a housing and an occupancy sensor that is disposed within the housing and configured to detect physical presences of users within a responsive area of the occupancy sensor. The thermostat may also include a processing system that is disposed within the housing and in operative communication with the occupancy sensor. The processing system may be configured to determine, after a trial period, whether to activate an away-state feature by storing indications of how often the occupancy sensor detected physical presences during the trial period, computing an occupancy level for the trial period, comparing the occupancy level to a threshold criterion, determining whether sufficiently true indications of occupancy conditions were sensed by the occupancy sensor during the trial period, and enabling the away-state feature of the thermostat if it is determined that the sufficiently true indications of occupancy conditions were sensed during the trial period.

Abstract: Provided according to one or more embodiments herein are methods, systems and related architectures for facilitating network communications between a wireless network-connected thermostat and a cloud-based management server in a manner that promotes reduced power usage and extended service life of a rechargeable battery of the thermostat, while at the same time accomplishing timely data transfer between the thermostat and the cloud-based management server for suitable and time-appropriate control of an HVAC system.

Abstract: A thermostat may include a memory and a processing system. The processing system may operate by determining a set of wake-up conditions for the processor to enter into a second operating state from a first operating state, the set of wake-up conditions including at least one threshold value associated with at least one environmental condition; causing the set of wake-up conditions to be stored in the memory; operating in a first mode in which the processor is in the first operating state during a time interval subsequent to causing the set of wake-up conditions to be stored in the memory; determining, while the processor is in the first operating state, whether at least one of the set of wake-up conditions has been met; and then operating in a second mode in which the processor is in the second operating state.