Abstract: Multiple dispatchable resources such as energy storage systems, generators, and curtailable loads are used to fulfill electricity usage control instructions by implementing multiple different sets of dispatch instructions. The sets of dispatch instructions vary based on individual status characteristics and aggregate status characteristics of the dispatchable resources in order to use the resources optimally. The resources may in some instances be prioritized according to their status characteristics in order to improve response efficiency, improve cost-effectiveness, reduce errors and flawed fulfillment, and improve the ability of the resources to respond to different kinds of electricity usage control instructions over time.

Abstract: Load curtailment systems and methods track energy consumption information about a site over time. The energy consumption information is used to track power levels and to determine whether an energy surplus or an energy deficit accrues for the site based a predetermined setpoint. A load management system is used to offset the deficit or surplus by charging or discharging energy storage in a manner preventing average power draw within at least a subdivision of a utility billing period from exceeding the setpoint, thereby managing demand charges billed by a utility based on power draw of the site.

Abstract: Multiple dispatchable resources such as energy storage systems, generators, and curtailable loads are used to fulfill electricity usage control instructions by implementing multiple different sets of dispatch instructions. The sets of dispatch instructions vary based on individual status characteristics and aggregate status characteristics of the dispatchable resources in order to use the resources optimally. The resources may in some instances be prioritized according to their status characteristics in order to improve response efficiency, improve cost-effectiveness, reduce errors and flawed fulfillment, and improve the ability of the resources to respond to different kinds of electricity usage control instructions over time.

Abstract: Multiple dispatchable resources such as energy storage systems, generators, and curtailable loads are used to fulfill electricity usage control instructions by implementing multiple different sets of dispatch instructions. The sets of dispatch instructions vary based on individual status characteristics and aggregate status characteristics of the dispatchable resources in order to use the resources optimally. The resources may in some instances be prioritized according to their status characteristics in order to improve response efficiency, improve cost-effectiveness, reduce errors and flawed fulfillment, and improve the ability of the resources to respond to different kinds of electricity usage control instructions over time.

Abstract: Methods and systems for generating a probability assessment for peak demand reduction for utility customers using a conditional-output energy generator are described. One method includes providing a customer data set and one or more historical generator production data sets for one or more intermittent generators that meteorologically correspond with the customer data set. Time intervals are defined in the data sets and a production distribution curve is generated for each time interval. A simulation is performed using the historical customer consumption data and the production distribution curves to obtain a net demand distribution curve for each time interval. These methods and systems may provide probability-based economic evaluation of consumption management systems.

Abstract: Multiple dispatchable resources such as energy storage systems, generators, and curtailable loads are used to fulfill electricity usage control instructions by implementing multiple different sets of dispatch instructions. The sets of dispatch instructions vary based on individual status characteristics and aggregate status characteristics of the dispatchable resources in order to use the resources optimally. The resources may in some instances be prioritized according to their status characteristics in order to improve response efficiency, improve cost-effectiveness, reduce errors and flawed fulfillment, and improve the ability of the resources to respond to different kinds of electricity usage control instructions over time.

Abstract: Load curtailment systems and methods track energy consumption information about a site over time. The energy consumption information is used to track power levels and to determine whether an energy surplus or an energy deficit accrues for the site based a predetermined setpoint. A load management system is used to offset the deficit or surplus by charging or discharging energy storage in a manner preventing average power draw within at least a subdivision of a utility billing period from exceeding the setpoint, thereby managing demand charges billed by a utility based on power draw of the site.

Abstract: Methods and systems for generating a probability assessment for peak demand reduction for utility customers using a conditional-output energy generator are described. One method includes providing a customer data set and one or more historical generator production data sets for one or more intermittent generators that meteorologically correspond with the customer data set. Time intervals are defined in the data sets and a production distribution curve is generated for each time interval. A simulation is performed using the historical customer consumption data and the production distribution curves to obtain a net demand distribution curve for each time interval. These methods and systems may provide probability-based economic evaluation of consumption management systems.

Abstract: Methods and systems for generating a probability assessment for peak demand reduction for utility customers using a conditional-output energy generator are described. One method includes providing a customer data set and one or more historical generator production data sets for one or more intermittent generators that meteorologically correspond with the customer data set. Time intervals are defined in the data sets and a production distribution curve is generated for each time interval. A simulation is performed using the historical customer consumption data and the production distribution curves to obtain a net demand distribution curve for each time interval. These methods and systems may provide probability-based economic evaluation of consumption management systems.

Abstract: Methods and systems for generating a probability assessment for peak demand reduction for utility customers using a conditional-output energy generator are described. One method includes providing a customer data set and one or more historical generator production data sets for one or more intermittent generators that meteorologically correspond with the customer data set. Time intervals are defined in the data sets and a production distribution curve is generated for each time interval. A simulation is performed using the historical customer consumption data and the production distribution curves to obtain a net demand distribution curve for each time interval. These methods and systems may provide probability-based economic evaluation of consumption management systems.