listenButton2.onclick = function(){ if( responsiveVoice.isPlaying() ){ document.getElementById( "PlayPause" ).innerHTML = " Read Article"; document.getElementById("soundTrackImg").innerHTML = ""; responsiveVoice.cancel(); } else { document.getElementById("soundTrackImg").innerHTML = ""; document.getElementById("PlayPause").innerHTML = " Stop"; responsiveVoice.speak("SAS announces availability of SAS Energy Forecasting.SAS has announced the availability of SAS Energy Forecasting, to help utilities operate more efficiently by capitalizing on new interval data from smart meters. 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 organizations 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 minimize 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). “Working with our customers, we developed SAS Energy Forecasting to go beyond what any forecaster has had access to before. We include utility-specific forecasting models and a comprehensive forecasting toolset for further refinement or custom configuration. Data mining and other analytical methods produce forecasts that more accurately reflect business realities and better guide decision makers ranging from load forecasters to senior executives.” said Alyssa Farrell, SAS Global Marketing Manager for Energy and Utilities.", "UK English Female"); } }; window.setInterval(function(){ if( !responsiveVoice.isPlaying() ){ if ( document.getElementById("PlayPause").innerText.trim() !== "Read Article" ) { document.getElementById( "PlayPause" ).innerHTML = " Read Article"; document.getElementById("soundTrackImg").innerHTML = ""; responsiveVoice.cancel(); } } }, 1000);

SAS has announced the availability of SAS Energy Forecasting, to help utilities operate more efficiently by capitalizing on new interval data from smart meters. 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 organizations 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 minimize 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).
 
“Working with our customers, we developed SAS Energy Forecasting to go beyond what any forecaster has had access to before. We include utility-specific forecasting models and a comprehensive forecasting toolset for further refinement or custom configuration. Data mining and other analytical methods produce forecasts that more accurately reflect business realities and better guide decision makers ranging from load forecasters to senior executives.” said Alyssa Farrell, SAS Global Marketing Manager for Energy and Utilities.

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