Application US20190097425

A METHOD AND SYSTEM FOR OPTIMIZING AND PREDICTING DEMAND RESPONSE
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US20190097425

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: (6) (5)

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.

2. The method of claim 1 wherein the electrical appliances are remote-controlled appliances and wherein the control instructions perform remote control. (0)

3. The method of claim 1 wherein control plan parameters include at least one of the following: the duration of the control period, the size and profile of control groups, thresholds parameters determining scheduled activation of the appliance. (0)

4. The method of claim 1 wherein the forecast model further enable to simulate control program parameters according to predefined goals parameters including at least target cost or target consumption; (0)

5. The method of claim 1 wherein the forecast model further enables the generation of the following estimates: (0) (3)

6. The method of claim 1 wherein the pre-processing include analyzing the correlation between consumer actions and the number of consumers who have chosen to quit their participation in the demand control response plan. (0)

7. The method of claim 1 wherein the pre-processing includes identifying statistical correlations between identified consumer actions, time-dependent environmental conditions, and household clusters. (0)

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: (6) (3)

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.

9. The system of claim 8 further comprising appliance Control module which can apply the control plan by determining the activation of electrical appliances at pre-defined control periods. (1) (0)

11. The system of claim 8 wherein control plan parameters include at least one of the following: the duration of the control period, the size and profile of control groups, thresholds parameters, and a schedule of activation of the appliance. (0)

12. The system of claim 8 wherein the forecast model further enable to simulate control program parameters according to predefined goals parameters including at least target cost or target consumption; (0)

13. The system of claim 8 wherein the forecast model further enables estimating: (0) (3)

14. The system of claim 8 wherein the pre-processing includes analyzing the correlation between consumer actions and the number of consumers who have chosen to quit their participation in the demand control response plan. (0)

15. The system of claim 8 wherein the pre-process includes identifying statistical correlations between identified consumer actions, time-dependent environmental conditions, and household clusters (0)

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Application US20190097425

A METHOD AND SYSTEM FOR OPTIMIZING AND PREDICTING DEMAND RESPONSE

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