The present disclosure generally relates to dynamic power curve throttling. In an exemplary embodiment, a computer-implemented method for enabling dynamic throttling of an engine includes graphically displaying a graph of a linear throttle line for the engine including an idle speed in revolutions per minute (RPM) and one or more operating speeds in revolutions per minute; using a graphical user interface to alter the linear throttling line into a non-linear dynamic throttling line; and generating a table based on the non-linear dynamic throttling line, the table including dynamic throttle increments that vary based on RPM and that are usable by a controller for dynamic throttling of the engine.

The present disclosure generally relates to dynamic power curve throttling. In an exemplary embodiment, a computer-implemented method for enabling dynamic throttling of an engine includes graphically displaying a graph of a linear throttle line for the engine including an idle speed in revolutions per minute (RPM) and one or more operating speeds in revolutions per minute; using a graphical user interface to alter the linear throttling line into a non-linear dynamic throttling line; and generating a table based on the non-linear dynamic throttling line, the table including dynamic throttle increments that vary based on RPM and that are usable by a controller for dynamic throttling of the engine.

A method for dispatching buildings in a demand response program event including generating data sets for each of the buildings, each set having energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each set are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each of the plurality of lag values is different from other ones of the plurality of lag values; performing a non-linear parabolic analysis on each set to yield non-linear parabolic model parameters and a residual; determining a least valued residual from all residuals yielded, the least valued residual indicating a corresponding energy lag for the each of the buildings; and using energy lags for all of the buildings to generate a dispatch schedule for the demand response program event according to a prioritization of the energy lags.

A method for characterizing buildings, including retrieving a plurality of baseline energy use data sets for the buildings from a baseline data stores; generating energy use data sets for each of the buildings, each of the energy use data sets comprising energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each of the sets are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each of the plurality of lag values is different from other ones of the plurality of lag values; performing a non-linear parabolic analysis on the each of the plurality of energy use data sets to yield corresponding non-linear parabolic model parameters and a corresponding residual; determining a least valued residual from all residuals, the least valued residual indicating a corresponding energy lag for the each of the buildings; and categorizing the buildings into types according to similar energy lags.

A distributed control system receives analysis data. The analysis data includes quality attributes of fluid samples and an indication of a plant location corresponding to the fluid samples. The system identifies one or more anomalies of fluid based upon the quality attributes of the plurality of fluid samples and attributes the one or more anomalies to one or more particular areas. The system triggers an alert, trigger control, or both, based at least in part upon the identified one or more anomalies and the attributed one or more particular areas.

A method for characterizing buildings, including retrieving a plurality of baseline energy use data sets for the buildings from a baseline data stores; generating energy use data sets for each of the buildings, each of the energy use data sets comprising energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each of the sets are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each of the plurality of lag values is different from other ones of the plurality of lag values; performing a machine learning model analysis on the each of the plurality of energy use data sets to yield corresponding machine learning model parameters and a corresponding residual; determining a least valued residual from all residuals, the least valued residual indicating a corresponding energy lag for the each of the buildings; and categorizing the buildings into types according to similar energy lags.

A method for characterizing buildings, including retrieving a plurality of baseline energy use data sets for the buildings from a baseline data stores; generating energy use data sets for each of the buildings, each of the energy use data sets comprising energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each of the sets are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each of the plurality of lag values is different from other ones of the plurality of lag values; performing a non-linear parabolic analysis on the each of the plurality of energy use data sets to yield corresponding non-linear parabolic model parameters and a corresponding residual; determining a least valued residual from all residuals yielded by the regression engine, the least valued residual indicating a corresponding energy lag for the each of the buildings; and categorizing the buildings into types according to similar energy lags.

Systems and methods for market-based financial settlement of transactions within an electric power grid are disclosed. At least one active grid element is constructed and configured in Internet Protocol (IP)-based network communication with a settlement processor via at least one coordinator in real-time or in a predetermined timeframe. The at least one active grid element generates revenue grade metrology data based on measurement and verification for a participation of the at least one active grid element in the electric power grid. The at least one active grid element provides automated messaging to the settlement processor. The settlement processor provides a market-based financial settlement message based upon the revenue grade metrology data and a kilowatt packet (KWP) unit. The KWP unit provides a quantifying market rate for monetization for any unit of kilowatts with respect to time.

Systems and methods for market-based financial settlement of transactions within an electric power grid are disclosed. At least one active grid element is constructed and configured in Internet Protocol (IP)-based network communication with a settlement processor via at least one coordinator in real-time or in a predetermined timeframe. The at least one active grid element generates revenue grade metrology data based on measurement and verification for a participation of the at least one active grid element in the electric power grid. The at least one active grid element provides automated messaging to the settlement processor. The settlement processor provides a market-based financial settlement message based upon the revenue grade metrology data and a kilowatt packet (KWP) unit. The KWP unit provides a quantifying market rate for monetization for any unit of kilowatts with respect to time.

Systems, methods, and apparatus embodiments for electric power grid and network registration and management of physical and financial settlement for participation of active grid elements in supply and/or curtailment of power. Settlement is provided for grid elements that participate in the electric power grid following initial registration of each grid element with the system, preferably through network-based communication between the grid elements and a coordinator, either in coordination with or outside of an IP-based communications network router. A multiplicity of active grid elements function in the grid for supply capacity, supply and/or load curtailment as supply or capacity, and are compensated through settlement for their functional participation in the electric power grid. Also, messaging related to settlement is managed through a network by a Coordinator using IP messaging for communication with the grid elements, with the energy management system (EMS), and with the utilities, market participants, and/or grid operators.