Siemens Westinghouse Power Corporation

Siemens Power Generation, Inc.

William Landi

Stephen Price Masticola

Peter R Spool

Dilip Soni

William Michael Hasling

A business management method with interaction between an electrical energy supplier and a plurality of customer energy consumers includes the consumers providing respective electricity load profiles to the energy supplier. The method also includes the energy supplier aggregating the respective projected electricity load profiles. The method further includes the energy supplier making decisions based on the respective projected electricity load profiles on any of the consumers bidding on additional power, offering excess power on energy exchanges, and offering specials discounts to favored consumers. The method is likewise applicable to other commodities such as a water supply, fuel gas supply, or the like.

Business management system and method for a deregulated electric power market

A business management method for remote detection of anomalies with interaction between an electric distribution company and a plurality of customer energy consumers with respective electric metering systems, comprises the steps of: the consumers providing respective metering system data to the electric distribution company; the electric distribution company monitoring the respective electric metering system data; the electric distribution company monitoring for anomalies in the data; the electric distribution company performing remote online diagnostics upon detection of an anomaly; upon a finding that the electric metering system of a respective customer energy consumer is functioning properly, the electric distribution company notifies the respective customer energy consumer; and upon a finding that the electric metering system of a respective customer energy consumer is not functioning properly, the electric distribution company schedules a repair visit with the respective customer energy consumer. The method is likewise applicable to other commodities such as a water supply, fuel gas supply, or the like.

Business management system and method for a deregulated electric power market using consumer site anomaly detection

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.

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

A business management method for trading in load estimations with interaction between an electrical energy supplier and a plurality of customer energy consumers, comprises the steps of: grouping the plurality of customers into respective customer circles such that each circle comprises a number of customers engaged in similar activities; developing respective load profiles for each of the customer circles for a predetermined period past; inputting the respective load profiles to an aggregate load profile estimator for providing an aggregate load estimate; and trading in the load estimate. The method is likewise applicable to other commodities such as a water supply, fuel gas supply, or the like.

Business management system and method for a deregulated electric power market with sharing of supply chain data

A business management method for detection of anomalies with interaction between an electric distribution company and a plurality of customer energy consumers with respective smart electric metering systems, comprises the steps of: the respective smart electric metering system providing an error message to the electric distribution company upon occurrence of an anomaly; electric distribution company performing online diagnostics upon detection of an anomaly at a respective customer energy consumer site; the electric distribution company determines whether repairs are required; and upon a determination of a need for repair, electric distribution company schedules a repair visit at the respective customer energy consumer site. The method is likewise applicable to other commodities such as a water supply, fuel gas supply, or the like.

Growing community of inventors

Hamilton, NJ, United States of America

William Landi