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EPIS Announces the North American Release of its Next-Generation Electric Market Model--AURORAxmp.


Business Editors

PORTLAND, Ore.--(BUSINESS WIRE)--Dec. 17, 2003

EPIS EPIS Estes Park Intermediate School (Estes Park, CO, USA) , Inc., developers of the pace-setting AURORA Electric Market Model, announces the release of AURORAxmp, the first electricity price forecasting model built around the new universal language for data exchange-XML-and Microsoft.NET technology.

"AURORAxmp is a quantum leap quantum leap
n.
An abrupt change or step, especially in method, information, or knowledge: "War was going to take a quantum leap; it would never be the same" Garry Wills.
 in electricity price forecasting and modeling," says Warren H. Winter, President and CEO (1) (Chief Executive Officer) The highest individual in command of an organization. Typically the president of the company, the CEO reports to the Chairman of the Board. . "AURORAxmp delivers unequaled modeling power, speed and control for electricity price forecasting, project valuation and market risk analysis."

XML XML
 in full Extensible Markup Language.

Markup language developed to be a simplified and more structural version of SGML. It incorporates features of HTML (e.g., hypertext linking), but is designed to overcome some of HTML's limitations.
 (extensible markup language See XML.

(language, text) Extensible Markup Language - (XML) An initiative from the W3C defining an "extremely simple" dialect of SGML suitable for use on the World-Wide Web.

http://w3.org/XML/.
) is playing an increasingly important role in the exchange of data.

"Through the use of XML, component object architecture and enhanced Visual Basic scripting, AURORAxmp enables a high level of software integration, model control and easy data exchange," Winter says. "We call that 'extensible modeling power' - or XMP (X/Open Management Protocol) A high-level network management protocol governed by X/Open. Network management software written to the XMP interface is shielded from the details of the underlying SNMP or CMIP protocols. ."

EPIS licenses AURORA to utilities, power marketers, financial institutions and consultants to produce forecasts of electricity market prices based on market fundamentals. The fastest tool of its kind, AURORA is used for risk analysis of price volatility on generation and contract portfolios. The model employs a proprietary transmission-constrained unit commitment and dispatch engine to simulate hourly wholesale spot prices for all major North American North American

named after North America.


North American blastomycosis
see North American blastomycosis.

North American cattle tick
see boophilusannulatus.
 energy markets and hubs.

AURORAxmp gives users control over virtually all aspects of model operation, including dynamic data modification. AURORAxmp operates on a desktop PC and can be linked to a wide range of applications as a power system simulation Power system simulation models are a class of computer simulation programs that focus on the operation of electrical power systems. These computer programs are used in a wide range of planning and operational situations including:
 and pricing engine. It enables users to modify and save changes to a database within an individual analysis or model run "on the fly". This capability simplifies scenario management and sensitivity studies. AURORAxmp also supports multiple database formats, including those based on XML, SQL Server and MS Access 2000, and gives users exceptional control over output specification. Its advanced user interface provides quick and intuitive navigation through all important aspects of power market analysis.

EPIS, Inc. (www.epis.com) is the developer of the AURORA Electric Market Model, the proven leading-edge software package with ready-to-use data for all the reliability regions in North America to forecast wholesale electricity market prices. Leading energy providers, power-marketing companies, energy consultants, and utilities use AURORA to model wholesale electricity prices and perform various long-range planning and risk analysis strategies.
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Publication:Business Wire
Date:Dec 17, 2003
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