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Inverstor-owned utility Southern California Edison (SCE) says it is now using SAS Analytics to help forecast critical operational information, such as short-term load and renewable energy output, that contributes to ensuring power grid efficiencies.

SAS' forecasting tools integrate data from a wide variety of sources, such as wind and solar power plants and smart meters, and "extract crucial insights for decision-making." SCE can host model development, data analysis, reporting and visualization in a single integrated software platform, streamlining the load and price forecasting process.

"SAS helped us modernize," says Raymond Johnson, principal manager of demand and price forecasting at SCE. "Having more integrated data and models helps us avoid operational errors and speed up the creation of forecasts, which in turn allows us to spend more time reviewing results and making any necessary changes."

"With new volumes of data from smart grid devices and meters come greater opportunities for utilities to modernize their energy planning with analytics," adds Alyssa Farrell, global manager of energy and sustainability solutions at SAS. "Large utilities such as Southern California Edison, as well as small utilities, are applying SAS Analytics to operations, customer service and renewables for smarter planning and better business results."

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