A frequency response optimization system includes a battery configured to store and discharge electric power, a power inverter configured to control an amount of the electric power stored or discharged from the battery at each of a plurality of time steps during a frequency response period, and a frequency response controller. The frequency response controller is configured to receive a regulation signal from an incentive provider, determine statistics of the regulation signal, use the statistics of the regulation signal to generate an optimal frequency response midpoint that achieves a desired change in a state-of-charge (SOC) of the battery while participating in a frequency response program, and use the midpoints to determine optimal battery power setpoints for the power inverter. The power inverter is configured to use the optimal battery power setpoints to control the amount of the electric power stored or discharged from the battery.

A building manager includes a communications interface configured to receive information from a smart energy grid. The building manager further includes an integrated control layer configured to receive inputs from and to provide outputs to a plurality of building subsystems. The integrated control layer includes a plurality of control algorithm modules configured to process the inputs and to determine the outputs. The building manager further includes a fault detection and diagnostics layer configured to use statistical analysis on the inputs received from the integrated control layer to detect and diagnose faults. The building manager yet further includes a demand response layer configured to process the information received from the smart energy grid to determine adjustments to the plurality of control algorithms of the integrated control layer.

A control system for a machine, operating on a worksite is associated with an implement, which perform additive construction operations in accordance with a pre-determined implement control plan. The system includes a positioning system, one or more implement control actuators, and a controller. The positioning system is configured to determine positioning signals associated with, at least, a terrain of the worksite and any worksite objects existing thereon. The controller determine an available zone, in which the machine and implement are capable of executing the additive construction operations within the available zone, based on the positioning signals and the pre-determined implement control plan, and determine an operation zone, relative to a desired additive construction site on the worksite, within the available zone, wherein parameters of the operation zone are based, at least in part, on the available zone, the machine configuration, and the pre-determined implement control plan.

A frequency response optimization system includes a battery configured to store and discharge electric power, a power inverter configured to control an amount of the electric power stored or discharged from the battery at each of a plurality of time steps during a frequency response period, and a frequency response controller. The frequency response controller is configured to receive a regulation signal from an incentive provider, determine statistics of the regulation signal, use the statistics of the regulation signal to generate an optimal frequency response midpoint that achieves a desired change in a state-of-charge (SOC) of the battery while participating in a frequency response program, and use the midpoints to determine optimal battery power setpoints for the power inverter. The power inverter is configured to use the optimal battery power setpoints to control the amount of the electric power stored or discharged from the battery.

A system for allocating one or more resources including electrical energy across equipment that operate to satisfy a resource demand of a building. The system includes electrical energy storage including one or more batteries configured to store electrical energy purchased from a utility and to discharge the stored electrical energy. The system further includes a controller configured to determine an allocation of the one or more resources by performing an optimization of a value function. The value function includes a monetized cost of capacity loss for the electrical energy storage predicted to result from battery degradation due to a potential allocation of the one or more resources. The controller is further configured to use the allocation of the one or more resources to operate the electrical energy storage.

Embodiments of the present disclosure provide for improved optimized plan predictions. Such embodiments, utilize optimized model(s) that accounts for uncertainty in input data to the model. Some example embodiments, receive input data associated with one or more industrial plants. At least a portion of the input data may include uncertain input data. The noted example embodiments, generate uncertainty-based modification data, and apply the uncertainty-based modification data to the input data to generate updated input data. The noted example embodiments generate, based at least in part on applying the updated input data to an optimization model, predicted optimized plan. The predicted optimized plan comprises optimized plan data. Further, the noted example embodiments initiate the performance of one or more prediction-based actions based at least in part on the predicted optimized plan.

A building manager includes a communications interface configured to receive time-of-use information from a smart energy grid and a processing circuit configured to process the time-of-use information received from the smart energy grid to generate load shedding decisions for building subsystems or devices including determining when to utilize energy from energy storage equipment. The processing circuit is configured to determine an amount of greenhouse gas emissions corresponding to the load shedding decisions and convert the amount of greenhouse gas emissions into tradable carbon credits. The processing circuit is configured to generate a graphical user interface including modules indicating the amount of greenhouse gas emissions, the tradable carbon credits, or energy savings resulting from the load shedding decisions. The processing circuit is configured to rearrange, resize, or reconfigure the modules or change the modules for different modules in response to a user input or selection provided via the graphical user interface.

A central plant includes an electrical energy storage subplant configured to store electrical energy, a plurality of generator subplants configured to consume one or more input resources, including discharged electrical energy, and a controller. The controller is configured to determine, for each time step within a time horizon, an optimal allocation of the input resources. The controller is configured to determine optimal allocation of the output resources for each of the subplants in order to optimize a total monetary value of operating the central plant over the time horizon.

A frequency response optimization system includes a battery configured to store and discharge electric power, a power inverter configured to control an amount of the electric power stored or discharged from the battery at each of a plurality of time steps during a frequency response period, and a frequency response controller. The frequency response controller is configured to receive a regulation signal from an incentive provider, determine statistics of the regulation signal, use the statistics of the regulation signal to generate an optimal frequency response midpoint that achieves a desired change in a state-of-charge (SOC) of the battery while participating in a frequency response program, and use the midpoints to determine optimal battery power setpoints for the power inverter. The power inverter is configured to use the optimal battery power setpoints to control the amount of the electric power stored or discharged from the battery.

A control system for a machine, operating on a worksite is associated with an implement, which perform additive construction operations in accordance with a pre-determined implement control plan. The system includes a positioning system, one or more implement control actuators, and a controller. The positioning system is configured to determine positioning signals associated with, at least, a terrain of the worksite and any worksite objects existing thereon. The controller determine an available zone, in which the machine and implement are capable of executing the additive construction operations within the available zone, based on the positioning signals and the pre-determined implement control plan, and determine an operation zone, relative to a desired additive construction site on the worksite, within the available zone, wherein parameters of the operation zone are based, at least in part, on the available zone, the machine configuration, and the pre-determined implement control plan.