Abstract: A system architecture and method for energy industry trading and transaction management includes a business logic server-based layer and a database layer. The business logic server-based layer includes a parameter-based configuration of at least one business logic service. The business logic service is configurable to enable a deployment of the system to be compatible with a respective business practice of at least one client customer. The at least one business logic service is configured to support energy trading and transaction management and to utilize business rules operable on an event basis for processing via an API at least one of energy trading and transaction management data, including data specific to the at least one client customer. The database layer operatively connects to the business logic layer for storing the data processed by the business logic layer in a database.

Abstract: The present invention provides methods and systems for determining anticipated profit from facilities such as electrical power generation facilities, for determining values for assets based on profitability of facilities, and for determining optimal operational scheduling options for facilities. Methods and systems are provided which utilize a dynamic programming algorithm and a decision tree based model in which one or more operating constraints are implicitly modeled, facilitating computational tractability. Additionally, methods and systems are provided that utilize a dynamic programming algorithm and a decision tree based model that accounts for a combined effect of price paths with specified uncertainty as well as operational constraints. Furthermore, methods and systems are provided that address profitability, valuation, and scheduling in relation to a group, or portfolio, of facilities, accounting for liquidity factors as well as group, or global, constraints.

Abstract: The present invention provides methods and systems for determining anticipated profit from facilities such as electrical power generation facilities, for determining values for assets based on profitability of facilities, and for determining optimal operational scheduling options for facilities. Methods and systems are provided which utilize a dynamic programming algorithm and a decision tree based model in which one or more operating constraints are implicitly modeled, facilitating computational tractability. Additionally, methods and systems are provided that utilize a dynamic programming algorithm and a decision tree based model that accounts for a combined effect of price paths with specified uncertainty as well as operational constraints. Furthermore, methods and systems are provided that address profitability, valuation, and scheduling in relation to a group, or portfolio, of facilities, accounting for liquidity factors as well as group, or global, constraints.