Abstract: 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.

Abstract: Systems and methods for airline fleet retirement prediction are provided. One methods includes obtaining market information for the airline that defines at least one market for the airline, determining a plurality of aircraft types (priority groupings) for the airline within the at least one market to define an airline fleet model, and determining deployment priorities for the plurality of aircraft types within the at least market. The method further includes developing one or more operational models using at least one of airline operational data or airline fleet data for the plurality of aircraft types and determining aircraft retirement prediction data for the airline using the airline fleet model and the one or more operational models developed for the airline.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 “1” may represent a recommendation to take an action relative to the corresponding item in the portfolio and the value “0” 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 “1” may represent a recommendation to take an action relative to the corresponding item in the portfolio and the value “0” 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.