New tech designed to help utilities, power traders predict hurricane impacts

OMAHA, NE, June 1, 2006 — DTN, a provider of business-to-business market, news and weather information services, has launched DTN Hurricane OutageCast, a solution designed to help energy traders forecast the supply and demand impacts of hurricanes and give utility operations predictions to improve power restoration. From power plants to T&D networks, hurricanes and tropical storms can result in widespread outages, reduced generation capacity and significant network damage. Tested and proven accurate in 2005, DTN’s Hurricane OutageCast helps traders and operations management understand the short- and long-term impact of hurricanes before they hit.

The solution is designed to give power traders an idea of which plants will be out and for how long. Utilities benefit by knowing five days ahead of time a storm’s likely route, the anticipated number of outages, and the expected percentage of towers and poles down in their service territory. The system should also help utilities better plan and gauge the extent to which mutual assistance will be required from other utilities. Utilities not in the most hurricane-prone regions can use the system to help them make better decisions when responding to mutual assistance requests.

DTN Hurricane OutageCast provides impact forecasts based on a storm’s official track, issued by the National Hurricane Center (NHC), as well as impact forecasts on the storm’s most likely track according to an ensemble of computer models. The NHC track is updated every six hours and greatly shapes the perception of the storm regardless of its accuracy. DTN’s computer-modeled track is updated hourly and shows a more accurate view of a storm’s path, giving traders a major advantage seeing both the market perception vs. the likely reality, and giving utilities a much clearer view of the extent of impact.

DTN Hurricane OutageCast’s forecast data is presented in easy-to-read charts and maps, as well as tables detailing utility, state and power plant impact. All data can be saved and reported in a spreadsheet format for further analysis.

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