Schedule-based load estimator and method for electric power and other utilities and resources

• US 6,865,450 B2
• Filed: 05/09/2002
• Issued: 03/08/2005
• Est. Priority Date: 05/10/2001
• Status: Active Grant

• Current Assignee: Siemens Industry Incorporated (Siemens AG)
• Original Assignee: Siemens Westinghouse Power Corporation
• Inventors: Landi, William A., Spool, Peter, Soni, Dilip, Masticola, Stephen
• Primary Examiner(s): Picard, Leo
• Assistant Examiner(s): Rapp, Chad
• Application Number:
  US10/142,401
• Publication Number:
  US 20030050738A1
• Time in Patent Office: 1,034 Days
• Field of Search: 700/291, 700/293, 700/295, 700/286, 705/10, 705/412, 705/1, 702 60- 62, 702/177, 702/183
• US Class Current: 700/291
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: Y02P 90/82 Energy audits or management systems therefor
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

A method for schedule-based load estimation in a system including a utility energy provider and a utility energy consumer, comprises the steps of generating a near-term proposed schedule set containing at least one near-term proposed schedule for operation of power-consuming resources; monitoring energy consumption of the consumer for providing a set of historical consumption data; providing from priorly stored data a set of historical schedule data for the consumer; providing a set of historical unscheduled factors that affect the consumer'"'"'s power consumption; providing a set of unscheduled factor predictions; and performing a correlation operation on the near-term proposed schedule set, the set of historical consumption data, the set of historical schedule data, the set of historical unscheduled factors, and the set of unscheduled factor predictions, for providing a respective near-term load estimate for each near-term proposed schedule in the near-term proposed schedule set.

Claims

1. A method for determining by a utility energy consumer an estimated load for each time spot in a near-term proposed schedule set offered by a utility energy provider comprising:

receiving by said utility energy consumer said near-term proposed schedule set from said utility energy provider;

obtaining a historical resource usage, a historical unscheduled factors, a historical metering data and a prediction of near-term unscheduled factors of said utility energy consumer;

correlating said historical resource usage and said historical unscheduled factors to said historical metering data to produce a data structure;

using said data structure and said prediction of near-term unscheduled factors to produce a near-term load estimate;

wherein said near-term load estimate represents said estimated load for each time in said near-term proposed schedule.

2. The method of claim 1, further comprising mapping said near-term load estimate against a rate structure set provided by said utility energy provider to determine an optimal rate structure.

3. The method of claim 2, further comprising selecting said optimal rate structure from said rate structure set.

4. The method of claim 1, further comprising said utility energy consumer sending said near-term road estimate to said utility energy provider.

5. The method of claim 1, further comprising updating at least one of said historical resource usage, said historical unscheduled factors, said historical metering data and said prediction of near-term unscheduled factors.