SAS Energy Forecasting Increases Return On Smart Grid Investment

SAS, the business analytics services and solutions provider, announced the availability of SAS Energy Forecasting to help utilities operate more efficiently by capitalising on new interval data from smart meters. Unlike other load forecasting software, SAS Energy Forecasting supports multiple planning horizons – from the next hour to the next 50 years.

Faced with volatile wholesale energy markets and increasingly complex asset portfolios, utilities need robust load forecasting to improve planning and operations while ensuring that lights come on when customers flip the switch. Without analytics, the increasing volume and variety of data can easily overwhelm traditional forecasting systems and processes. In India, SAS has been closely working with various organisations in the utilities segment which includes the likes of Reliance Energy and BSES, amongst many others.

“SAS’ analytics expertise has been empowering utilities across geographies with the power to derive valuable insights from data and enhance load forecasting accuracy. SAS Energy Forecasting is an all-in-one solution that improves overall process performance through the inclusion of data management, forecasting and reporting. This will surely help minimise the challenge of power cuts, as load can now be managed efficiently,” said Sudipta K. Sen, Regional Director – South East Asia, CEO & Managing Director - SAS Institute (India).

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Energy and utility leaders around the world rely on the power of SAS to deliver the analysis, forecasts, and energy trading and risk management systems for effective decision making across the enterprise. With SAS Analytics, utilities track and manage resources by geography, weather sensitivity and customer load characteristics. No other forecasting solution provides the automation, scalability, statistical sophistication and transparency of SAS Energy Forecasting.

SAS has been ranked No. 1 for smart grid analytics by recently released utility industry report by GTM Research titled, ‘The Soft Grid 2013-2020: Big Data & Utility Analytics for the Smart Grid’. According to the report, SAS analytics software lets utilities track, visualise and predict demand. Organisations across the utilities sector in India are realising the smart grid vision by using SAS Analytics and Energy Forecasting to discover powerful insights buried in volumes of new data.