Methods and Systems for Analyzing Energy Usage
First Claim
2-1. The method of claim 1, wherein the first group of energy users comprises a sample group of consumers that are representative of an energy provider'"'"'s customer base.
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Abstract
Systems and methods consistent with the present invention allow an energy consumption index to be generated from DR response data and influencer data. The energy consumption index may indicate the energy consumption of a consumer before receiving a DR signal, the change in the consumption after the consumer receives a DR signal, and the consumer'"'"'s propensity to respond to a DR signal. Systems and methods consistent with the present invention also allow energy providers to monitor, forecast, and plan for changes in consumer demand for energy. Various energy planning tools may facilitate an energy provider'"'"'s ability to monitor, forecast, and plan for such changes.
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Citations
34 Claims
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2-1. The method of claim 1, wherein the first group of energy users comprises a sample group of consumers that are representative of an energy provider'"'"'s customer base.
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11. A system for managing energy usage by leveraging demand response (“
- DR”
) data, comprising;a first database storing DR response data received from usage devices corresponding a first group of energy users; a second database storing influencer data regarding the first group of energy users; a computer processor coupled to the first database and the second database, the computer processor associating the DR response data with the influencer data, the computer processor further determining an energy consumption index for the first group of energy users and establishing an energy consumption index for a second group of energy users based on the energy consumption index for the first group of energy users, wherein the energy consumption index for the first group of energy consumers comprises; a value of energy consumption before DR data is communicated to usage devices corresponding to the first group of energy users; a propensity of the first group of energy users to alter energy consumption in response to DR data; and a change in energy consumption, after DR data is communicated to usage devices corresponding to the first group of energy users. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
- DR”
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23. A computer-implemented method of managing energy provision, comprising:
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determining energy planning criteria for a group of energy users, wherein the energy planning criteria comprise; a forecast, created using a computer, of a propensity of the group of energy users to alter energy consumption; a forecast, created using a computer, of an energy consumption of the group of energy users; and a determination of an actual energy consumption of the group of energy users; determining an optimal level of a factor regarding energy provision based on the energy planning criteria; and determining a signal to send to receiving devices of a target group of energy users to achieve the optimal level of the factor regarding energy provision. - View Dependent Claims (24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
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Specification