Electric co-op forecasts demand, transmission needs

The Northern Virginia Electric Cooperative (NOVEC) provides power to 144,000 customers. To keep electric costs down and to reliably serve customers, NOVEC needs to know how much power to buy, transmit and deliver for its consumers. SAS Analytics provide NOVEC with a broad array of econometric and time series forecasting techniques, along with point-and-click interfaces that can grow with the utility.

SAS has the functionality to do what we need now and what we anticipate needing in the future.”

Jamie Hall
Senior Operations Research Analyst

Challenges for NOVEC

Doesn't produce its own power. The co-op needs to forecast power consumption accurately to make power purchasing decisions that will result in stable, competitively priced power for its consumers.

Must prudently provision for new or upgraded facilities such as substations and lines as its consumer base and consumer load grow.

Must optimally operate and maintain its electric infrastructure in order to provide superior service reliability at a competitive cost to its consumers.

Why SAS®?

Stability: "SAS has the functionality to do what we need now and what we anticipate needing in the future. It's the safe choice,'' says Jamie Hall, Senior Operations Research Analyst.

Ease of use: NOVEC analysts can point and click to build a model, making the product accessible to anyone, explains Ananya Kassahun, NOVEC Business Analyst. She had not used SAS before joining NOVEC.

SAS benefits

SAS automatically keeps track of the flow of the forecasting process and upwards of 50 time series used to build models.

Pulling in third-party and historical data from multiple sources is simple. The models use daily third-party weather forecasts and monthly economic information.

The model built in SAS provided a 21.7 percent improvement versus the competing model.

Future SAS uses

Determining the impact of load management programs.

novec-logo

Challenge

NOVEC needs to forecast demand for power and the need to build or upgrade electric infrastructure.

Solution

Benefits

The model built in SAS provided a 21.7% improvement over the competing model.

Los resultados que se ilustran en este artículo son específicos a las situaciones, modelos de negocios, datos aportados y entornos de cómputo en particular que se describen aquí. Cada experiencia del cliente de SAS es única basada en variables de negocios y técnicas y todas las declaraciones se deben considerar no típicas. Los ahorros, resultados y características de desempeño reales variarán dependiendo de las configuraciones y condiciones de los clientes individuales. SAS no garantiza ni augura que todos los clientes lograrán resultados similares. Las únicas garantías aplicables a los productos y servicios de SAS son aquellas que se estipulan en las declaraciones de garantía explícitas en el contrato por escrito relativo a dichos productos y servicios. No se debe considerar que nada de lo aquí mencionado constituye una garantía adicional. Los clientes han compartido sus éxitos con SAS como parte de un intercambio contractual convenido o resumen de éxito de proyectos tras una implementación exitosa de software de SAS. Los nombres de marcas y productos son marcas comerciales de sus respectivas compañías.

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