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Demand Response

Search All Applications in Demand Response


Application US20190097425


Published 2019-03-28

A Method And System For Optimizing And Predicting Demand Response

The present invention provides a method for forecasting load and managing a control plan for households having electric appliances wherein the control plan determines the activation of the electric appliances at pre-defined control periods. The method comprises the steps of: pre-processing per meter of households historical consumption of electric appliances at control period in relation to time dependent environmental parameters and household profiles and control program parameters, creating forecast model of consumption of each controlled appliance during next control plan period based on said pre-processing enabling to simulate control program parameters according to predefined goals parameter including at least target cost or consumption, determining control plan parameters for incoming control period, based on forecast models using defined goal parameters and sending control instructions to each group member control module based on determined control plan parameters, time dependent parameters and measured environmental parameters within the household.



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2 Independent Claims

  • 1. A method for forecasting electrical load and for managing a control plan for households having controlled appliances, wherein the control plan determines an activation of electrical appliances at pre-defined control periods, said method implemented by one or more processing devices operatively coupled to a non-transitory storage device, on which are stored modules of instruction code that when executed cause the one or more processing devices to perform: pre-processing data of a control group of households, wherein the data includes historical consumption of electrical appliances during a control period, time dependent environmental parameters, and household profiles, and one or more of a control program parameter of a period of control and a size of group, a threshold control parameter, a user behavior parameter, and a feedback parameter of at least one user action; responsively creating a forecast model of consumption of each controlled appliance during a subsequent control plan period; determining, based on the forecast model, a control plan, comprising control plan output parameters, for the subsequent control plan period; determining households to be group members to participate in the control plan; and sending control instructions based on the control plan output parameters to each group member.

  • 8. A computer based system for forecasting load and managing a control plan for households having controlled appliances, said system comprising a non-transitory storage device and one or more processing devices operatively coupled to the storage device on which are stored modules of instruction code executable by the one or more processors: Control plan behavior History analyzing module for pre-processing per meter of households of historical consumption of electrical appliances at control period in relation to the at least one of following: time depended environmental parameters and household profiles; control program parameters including at least: period of control, size of group and threshold control parameters; user behavior parameters including feedback or non feedback of the user wherein the feedback include at least one user action during the control plan; Forecast modeling of control plan effect module for creating forecast model of consumption of each controlled appliance during next control plan period based on said pre-processing; Control plan activation module determining control plan parameters for incoming control period, based on forecast models, determining the group of households to participate in the control plan based on control plan output parameters; and sending control instructions to each group member control module based on determined control plan parameters, time depended parameters and measured environmental parameter within the household.