Method and System for Forecasting Power Requirements Using Granular Metrics
First Claim
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1. A computer implemented method of modeling power usage within a macrogrid, the macrogrid being within a region, the method comprising:
- a) obtaining disaggregated power consumption data in at least one premise within the macrogrid to determine at least one behavioral pattern according to usage behaviors for at least one appliance or device within the macrogrid;
b) obtaining data relating to the at least one behavioral pattern and a state of a user;
c) obtaining data relating to at least one external impact on power usage;
d) using the obtained data from one or more of a) to c) to create an individual consumer forecast of power usage, said consumer forecast being collectively aggregated across a plurality of users;
e) using data from one or more of a) to d) to perform a demographic analysis;
f) collecting macrogrid aggregate power consumption data for the region;
g) determining power consumption requirements across the macrogrid for the region using data from at least one of a) to e); and
h) determining future power requirements within the macrogrid, using the data obtained in at least one of a) to g).
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Abstract
A method for modeling power usage within a macrogrid uses data relating to the behavioral patterns and states (“BA”) of the users, data relating to external impacts on power usage and disaggregated power consumption data in at least one premises within the macrogrid (forming “power usage model data”) and thereafter a method of forecasting and predicting future power requirements within the macrogrid uses such power usage model data.
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Citations
23 Claims
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1. A computer implemented method of modeling power usage within a macrogrid, the macrogrid being within a region, the method comprising:
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a) obtaining disaggregated power consumption data in at least one premise within the macrogrid to determine at least one behavioral pattern according to usage behaviors for at least one appliance or device within the macrogrid; b) obtaining data relating to the at least one behavioral pattern and a state of a user; c) obtaining data relating to at least one external impact on power usage; d) using the obtained data from one or more of a) to c) to create an individual consumer forecast of power usage, said consumer forecast being collectively aggregated across a plurality of users; e) using data from one or more of a) to d) to perform a demographic analysis; f) collecting macrogrid aggregate power consumption data for the region; g) determining power consumption requirements across the macrogrid for the region using data from at least one of a) to e); and h) determining future power requirements within the macrogrid, using the data obtained in at least one of a) to g). - View Dependent Claims (2, 3)
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4. A computer implemented method of modeling power usage within a macrogrid the method comprising:
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a) periodically receiving granular power consumption data from a statistically significant portion of a target population of power users within the macrogrid for a region; b) using the power consumption data to perform a consumer load disaggregation to determine usage behaviors for at least one appliance or device; c) obtaining data relating to at least one behavioral pattern and a state of a user; d) obtaining data relating to external impacts on power usage; e) using obtained data from at least one of a) to d) to generate an individual consumer forecast of power usage, the consumer forecast being collectively aggregated across a plurality of users; f) using data from one or more of a) to e) to perform a demographic analysis; g) collecting aggregate power consumption data for a region associated with the macrogrid; h) determining power consumption requirements across the macrogrid for the region using data from at least one of more of a) to g); and i) determining future power requirements within the macrogrid, using the data obtained in at least one of a) to h). - View Dependent Claims (5, 6, 7, 8, 9)
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10. A system for modeling power usage within a macrogrid for determining future power requirements within the macrogrid, the system comprising a server and one or more databases, the server comprising a processor and memory, the memory comprising computer executable instructions for:
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a) obtaining disaggregated power consumption data in at least one premise within the macrogrid to determine at least one behavioral pattern according to usage behaviors for at least one appliance or device within the macrogrid; b) obtaining data relating to the at least one behavioral pattern and a state of a user; c) obtaining data relating to at least one external impact on power usage; d) using the obtained data from one or more of a) to c) to create an individual consumer forecast of power usage, said consumer forecast being collectively aggregated across a plurality of users; e) using data from one or more of a) to d) to perform a demographic analysis; f) collecting macrogrid aggregate power consumption data for the region; g) determining power consumption requirements across the macrogrid for the region using data from at least one of a) to e); and h) determining future power requirements within the macrogrid, using the data obtained in at least one of a) to g). - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A system for forecasting and predicting power usage within a macrogrid, the system comprising a server and one or more databases, the server comprising a processor and memory, the memory comprising computer executable instructions for:
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a) periodically receiving granular power consumption data from a statistically significant portion of a target population of power users within the macrogrid for a region; b) using the power consumption data to perform a consumer load disaggregation to determine usage behaviors for at least one appliance or device; c) obtaining data relating to at least one behavioral pattern and a state of a user; d) obtaining data relating to external impacts on power usage; e) using obtained data from at least one of a) to d) to generate an individual consumer forecast of power usage, the consumer forecast being collectively aggregated across a plurality of users; f) using data from one or more of a) to e) to perform a demographic analysis; g) collecting aggregate power consumption data for a region associated with the macrogrid; h) determining power consumption requirements across the macrogrid for the region using data from at least one of more of a) to g); and i) determining future power requirements within the macrogrid, using the data obtained in at least one of a) to h).
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Specification