General Electric Capital Corporation

General Electric Company

Ge Corporate Financial Services, Inc.

John Andrew Ellis

Kete Chalermkraivuth

Rajesh Venkat Subbu

Jason Wayne Black

Rajesh Tyagi

James G Russo

Matthew Allen

Bex George Thomas

Marc Anthony Garbiras

Sean Coleman Keenan

Radu Neagu

Jingjiao Zhang

David Chienju Li

Jose R Celaya

Vishwanath Avasarala

Hoai-Hai Doan

Melissa Ialeggio

A method and system for controlling demand events in a utility network with multiple customer sites. The value of a demand response parameter threshold for invoking a demand response event is calculated based on the number of available demand response events and the number of opportunities remaining to issue the available demand response events. This parameter represents the utility objectives for using the demand response program (e.g., cost savings, reliability, avoided costs). A current value of the demand response parameter is compared to the threshold value, and a determination is made whether or not to call a demand response event for the current opportunity, or to save the event for a future opportunity based upon this comparison.

Method and system for demand response management in a network

A method for generating an optimized transition probability matrix (OTPM) is provided. The method is performed using a computer system coupled to a database. The method includes storing in the database financial data including obligor credit ratings, generating multi-period empirical transition probability matrices (ETPMs) for a selected time horizon using the financial data stored within the database, generating a mathematical expression to minimize a difference between target ETPM values and candidate OTPM values, and calculating the OTPM from the generated mathematical expression and the financial data stored within the database, wherein the calculated OTPM includes a first set of optimized transition probability values for predicting a likelihood that a credit rating of an obligor will migrate from one credit state to another credit state during a first time interval in the future.

Methods and systems for generating transition probability matrices through an optimization framework

A visual interactive multi-criteria decision-making method and computer-based apparatus for portfolio management. The method/apparatus supports partitioning of a portfolio of physical or other assets into two mutually exclusive categories, such as assets recommended for sale and assets recommended for retention. The method/apparatus utilizes one or more coupled 2-D projections of the portfolio in criteria space. The user interacts with the projections to express and record preferences.

Methods and interface for set-partitioning decision support tool

A method of operating a computer system includes storing, in the computer system, a database containing performance measure data regarding performance measures of a plurality of items. The method further includes inputting into the computer system a plurality of performance measure constraints. The method also includes modeling the performance measure constraints with a set of equations. The equations include a plurality of variables. Each of the variables corresponds to a respective one of the items. Each variable is, for example, to be assigned either the value '1' or the value '0'. The value &#x201c;1&#x201d; may represent a recommendation to take an action relative to the corresponding item in the portfolio and the value &#x201c;0&#x201d; may represent a recommendation to take another action. The computer system is used to solve the set of equations to generate one or more solutions that satisfy the performance measure constraints.

System and software for providing recommendations to optimize a portfolio of items

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Niskayuna, NY, United States of America

John Andrew Ellis