Abstract: Methods, devices, and systems for energy consumption modeling are described herein. One device includes a memory, and a processor configured to execute executable instructions stored in the memory to assign energy consumption data to an on state and an off state of a device, generate a model configured to predict a future state of the device and a duration of the future state based on a duration of a current state of the device, a duration of a previous state of the device, and operating conditions of the device, and predict a future energy consumption of the device using the assigned energy consumption data and the generated model.

Abstract: Heating, ventilation, and air conditioning (HVAC) system boiler controllers are described herein. One controller includes a memory and a processor configured to execute executable instructions stored in the memory to determine a change to a set point of the boiler that would lower a cost of operating the boiler, determine whether the change to the set point of the boiler is possible for the boiler, and make the change to the set point of the boiler upon determining the change is possible.

Abstract: Heating, ventilation, and air conditioning (HVAC) controllers are described herein. One method includes receiving an approximate relationship between each of a number of controlled and manipulated variables of an HVAC system, designating one of the number of controlled variables as a primary controlled variable, determining operating parameters for each of the number of manipulated variables that maintain the primary controlled variable based, at least in part, on the approximate relationship between the primary controlled variable and each respective manipulated variable, and determining operating parameters for each of the number of manipulated variables that maintain each of the other controlled variables based, at least in part, on the approximate relationship between each respective other controlled variable and each respective manipulated variable and the determined operating parameters for each of the number of manipulated variables that maintain the primary controlled variable.

Abstract: Heating, ventilation, and air conditioning (HVAC) system controllers are described herein. One HVAC controller includes a user interface configured to receive an indication of whether there is a positive or negative relationship between each of a number of controlled variables of an HVAC system and each of a number of manipulated variables of the HVAC system, a memory, and a processor configured to execute executable instructions stored in the memory to determine operating parameters for each of the number of manipulated variables, wherein the determined operating parameters are determined based, at least in part, on whether there is a positive or negative relationship between each respective controlled variable and each respective manipulated variable, and the determined operating parameters are not based on system dynamics and disturbances associated with the HVAC system. The determined operating parameters may be optimal with respect to the current condition of the HVAC system.

Abstract: A system and method obtain a database stored on a storage device containing information on multiple assets, the information including measurements taken from devices monitoring each asset, and context information corresponding to the environment the items are subjected to. The system and method groups assets via a computer system into a homogenous group as a function of selected context information and performs analytics via the computer system on the grouped assets to manage the assets.

Abstract: Various embodiments herein include at least one of systems, devices, methods, and methods for distributed HVAC system cost optimization. Such embodiments are generally implemented within a controller of HVAC system component, such as within boiler, cooler, air handling unit, and rooftop unit controllers. In some embodiments, multiple controllers exchange data to control various components of an HVAC system. One of the controllers, such as a primary plant of the system for heating or cooling, is designated as a master controller and the other component controllers are designated as slave controllers. Each controller, both master and slave controllers, includes at least one model that models variable settings of the component or components for which the respective controller is responsible. The model is utilized by the respective controller to both adjust the modeled variable component settings and to determine a cost-variable of operation.

Abstract: A method includes pairing manipulated variables and controlled variables in an HVAC system, perturbing a variable, controlling the HVAC system to maintain controlled variables in a comfort range, determining a state of the system, and deriving a model from the state of the system.

Abstract: Methods and devices for scheduling operation of residential energy consumption devices are described herein. One device includes a memory and a processor. The processor can be configured to execute executable instructions stored in the memory to form a number of chains of residential energy consumption devices, wherein each of the number of chains includes different devices, determine which of the number of chains has a largest total energy consumption over a particular period of time, and determine, for the devices in the chain having the largest total energy consumption over the particular period of timed of time, an operational schedule having a lowest possible cost.

Abstract: Identifying models of dynamic systems is described herein. One method for identifying a model of a dynamic system includes estimating a number of parameters for each of a number of models of the dynamic system, predicting an output using the estimated number of parameters for each of the number of models, calculating a rate of error of the predicted output for each of the number of models compared to an observed output, and identifying a best model among the number of models of the dynamic system based on the calculated rate of errors.

Abstract: A system and method obtain a database stored on a storage device containing information on multiple assets, the information including measurements taken from devices monitoring each asset, and context information corresponding to the environment the items are subjected to. The system and method groups assets via a computer system into a homogenous group as a function of selected context information and performs analytics via the computer system on the grouped assets to manage the assets.