Abstract: A controller mechanism having a selectable actuator with a touchscreen that displays a plurality of selectable options and is configured to highlight a selection from the plurality of selectable options by touch, and extending outward from the actuator is a plurality of protrusions; a frame having an aperture through which the selectable actuator extends and the plurality of protrusions do not extend; a carriage having a spring that presses against the selectable actuator at a plurality of different locations to float the plurality of protrusions against the frame and a shared selection button that can be pressed by the actuator when the spring is compressed; wherein entering the selection from the plurality of selectable options includes highlighting the selection by touch and pressing the selection button; and wherein the plurality of protrusions prevent substantial lateral movement of the actuator.

Abstract: In some embodiments, there is provided a system for remotely processing data streams including: at least one transmitter configured for transmission of at least two data streams, the at least two data streams including at least a lower quality preview stream and a higher quality content stream. A plurality of editor computing devices is configured for receiving at least the lower quality preview stream and facilitating processing and editing on the lower quality preview stream, generating a set of machine-readable instructions representative of the processing and editing. A plurality of routing computing devices located from the at least one transmitter is configured for receiving at least the higher quality content stream and the set of machine-readable instructions, processing the higher quality content stream by encoding the higher quality content stream based on the set of machine-readable instructions to generate an output content stream.

Abstract: Described herein are methods and systems, including computer program products, for optimizing and controlling a building's energy consumption and comfort. A computing device receives measurements from a plurality of sensors, at least some of which are located inside the building, where the measurements include temperature readings and comfort characteristics. The computing device generates a set of thermal response coefficients based on energy characteristics of the building, the measurements from the sensors, and weather data associated with the building's location. The computing device predicts an energy response of the building based on the set of thermal response coefficients and forecasted weather. The computing device selects minimal energy requirements of the building based on an energy consumption cost associated with the building and determines energy control points based on the energy response and the minimal energy requirements.

Abstract: Described herein are methods and systems, including computer program products, for optimizing and controlling the energy consumption of a building. A computing device generates thermal response coefficients for the building based on energy characteristics of the building and weather data associated with the location of the building. The computing device an energy response for each of a plurality of different points in time based on the thermal response coefficients and forecasted weather conditions. The computing device selects minimal energy requirements based on an energy consumption cost. The computing device determines a series of temperature set points based on the corresponding energy response and the minimal energy requirements. The computing device transmits the series of temperature set points to a thermostat, which adjusts operating parameters using each series of temperature set points when a time value matches the point in time associated with each series of temperature set points.

Abstract: Described herein are methods and systems, including computer program products, for optimizing and controlling the energy consumption of a building. A computing device generates thermal response coefficients for the building based on energy characteristics of the building and weather data associated with the location of the building. The computing device an energy response for each of a plurality of different points in time based on the thermal response coefficients and forecasted weather conditions. The computing device selects minimal energy requirements based on an energy consumption cost. The computing device determines a series of temperature set points based on the corresponding energy response and the minimal energy requirements. The computing device transmits the series of temperature set points to a thermostat, which adjusts operating parameters using each series of temperature set points when a time value matches the point in time associated with each series of temperature set points.

Abstract: Described herein are methods and systems, including computer program products, for optimizing and controlling the energy consumption of a building. A first computing device generates a set of thermal response coefficients for the building based on energy characteristics of the building and weather data associated with the location of the building. The first computing device predicts an energy response of the building based on the set of thermal response coefficients and forecasted weather associated with the location of the building. The first computing device selects minimal energy requirements of the building based on an energy consumption cost associated with the building. The first computing device determines one or more temperature set points for the building based on the energy response and the minimal energy requirements. The first computing device transmits the one or more temperature set points to a thermostat of the building.

Abstract: Described herein are methods and systems, including computer program products, for optimizing and controlling a building's energy consumption and comfort. A computing device receives measurements from a plurality of sensors, at least some of which are located inside the building, where the measurements include temperature readings and comfort characteristics. The computing device generates a set of thermal response coefficients based on energy characteristics of the building, the measurements from the sensors, and weather data associated with the building's location. The computing device predicts an energy response of the building based on the set of thermal response coefficients and forecasted weather. The computing device selects minimal energy requirements of the building based on an energy consumption cost associated with the building and determines energy control points based on the energy response and the minimal energy requirements.