Determining Sensor Placement and a Reward Sharing Mechanism Based on Shared Energy Forecasting Information
First Claim
1. A computer-implemented method, comprising:
- processing multiple data streams derived from multiple respective energy-related sensors within a network, wherein each of the multiple energy-related sensors is linked to a respective one of multiple spatially distributed prosumers of the network;
computing an expected utility, with respect to forecast accuracy of energy production within the network, of information captured by each of the multiple energy-related sensors based on said processing;
determining a reward structure for each of the prosumers of the network based on the expected utility of the information captured by the energy-related sensors linked to each of the prosumers; and
outputting a reward to each of the prosumers of the network in accordance with the determined reward structure;
wherein the steps are carried out by at least one computing device.
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Accused Products
Abstract
Methods, systems, and computer program products for determining sensor placement and a reward sharing mechanism based on shared energy forecasting information are provided herein. A computer-implemented method includes processing multiple data streams derived from multiple respective energy-related sensors within a network, wherein each of the multiple energy-related sensors is linked to a respective one of multiple spatially distributed prosumers of the network; computing an expected utility, with respect to forecast accuracy of energy production within the network, of information captured by each of the multiple energy-related sensors based on said processing; determining a reward structure for each of the prosumers of the network based on the expected utility of the information captured by the energy-related sensors linked to each of the prosumers; and outputting a reward to each of the prosumers of the network in accordance with the determined reward structure.
62 Citations
20 Claims
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1. A computer-implemented method, comprising:
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processing multiple data streams derived from multiple respective energy-related sensors within a network, wherein each of the multiple energy-related sensors is linked to a respective one of multiple spatially distributed prosumers of the network; computing an expected utility, with respect to forecast accuracy of energy production within the network, of information captured by each of the multiple energy-related sensors based on said processing; determining a reward structure for each of the prosumers of the network based on the expected utility of the information captured by the energy-related sensors linked to each of the prosumers; and outputting a reward to each of the prosumers of the network in accordance with the determined reward structure; wherein the steps are carried out by at least one computing device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to:
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process multiple data streams derived from multiple respective energy-related sensors within a network, wherein each of the multiple energy-related sensors is linked to a respective one of multiple spatially distributed prosumers of the network; compute an expected utility, with respect to forecast accuracy of energy production within the network, of information captured by each of the multiple energy-related sensors based on said processing; determine a reward structure for each of the prosumers of the network based on the expected utility of the information captured by the energy-related sensors linked to each of the prosumers; and output a reward to each of the prosumers of the network in accordance with the determined reward structure.
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16. A system comprising:
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a memory; and at least one processor coupled to the memory and configured for; processing multiple data streams derived from multiple respective energy-related sensors within a network, wherein each of the multiple energy-related sensors is linked to a respective one of multiple spatially distributed prosumers of the network; computing an expected utility, with respect to forecast accuracy of energy production within the network, of information captured by each of the multiple energy-related sensors based on said processing; determining a reward structure for each of the prosumers of the network based on the expected utility of the information captured by the energy-related sensors linked to each of the prosumers; and outputting a reward to each of the prosumers of the network in accordance with the determined reward structure.
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17. A computer-implemented method, comprising:
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processing multiple data streams derived from multiple respective energy-related sensors within a network, wherein each of the multiple energy-related sensors is linked to a respective one of multiple spatially distributed prosumers of the network; computing an expected utility, with respect to forecast accuracy of energy production within the network, of information captured by each of the multiple energy-related sensors based on said processing; determining a recommendation for installation of one or more additional energy-related sensors within the network based on (i) the location of the multiple energy-related sensors, (ii) the location of the prosumers within the network, and (iii) the expected utility of the information captured by the energy-related sensors; generating a cost-sharing scheme applicable to the prosumers of the network for the installation of the one or more additional energy-related sensors based on an expected derived value of the one or more additional energy-related sensors to the prosumers; and outputting, to the prosumers of the network, (i) the recommendation and (ii) the cost-sharing scheme; wherein the steps are carried out by at least one computing device. - View Dependent Claims (18, 19, 20)
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Specification