System and method for managing energy resources based on a scoring system

• US 20100217651A1
• Filed: 08/11/2009
• Published: 08/26/2010
• Est. Priority Date: 02/26/2009
• Status: Abandoned Application

• Current Assignee: Alan McCord, Brian R. Galvin, Jason Crabtree, Pravin Rajan
• Original Assignee: Alan McCord, Brian R. Galvin, Jason Crabtree, Pravin Rajan
• Inventors: Galvin, Brian R., Rajan, Pravin, McCord, Alan, Crabtree, Jason
• Application Number:
  US12/462,986
• Publication Number:
  US 20100217651A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/06312 Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y02P 90/90 Financial instruments for climate change mitigation, e.g. environmental taxes, subsidies or financing

Abstract

A method for managing energy resources, comprising the steps of collecting energy-related data in an event database from a plurality of network-connected iNodes, using a network-connected statistics server to compute a reliability rating for a plurality of users based at least in part on the data collected from iNodes associated with the users, using the reliability ratings at least to select a subset of users for inclusion in a derivative energy security, computing an expected performance profile and reliability rating for the derivative energy security, and making the derivative security available on a digital exchange, is disclosed.

Claims

1. A method for managing energy resources, comprising the steps of:

(a) collecting energy-related data in an event database from a plurality of network-connected iNodes;

(b) using a network-connected statistics server to compute a reliability rating for a plurality of users based at least in part on the data collected from iNodes associated with the users;

(c) using the reliability ratings at least to select a subset of users for inclusion in a derivative energy security;

(d) computing an expected performance profile and reliability rating for the derivative energy security; and

(e) making the derivative security available on a digital exchange.