Industries / Utilities

Industries
Banking
Capital Markets
Consumer Products
Energy & Utilities
Smart Meter Rollout
Smart Customer Insight
Smart Energy Forecasting
Smart Tariffs
Customer Service Analytics
Churn Analysis
Utility Debt Management
Asset Maintenance Management
Load Forecasting
Gaming & Gambling
Insurance
Media
Pharmaceuticals
Public Sector
Public Security
Retail
Telco
 
 

Smart Energy Forecasting

Historically, utilities have developed their own demand forecasting systems in house or bought in specialist systems, but these solutions are rarely designed to scale to cope with the torrent of Smart Meter data.

Utilities executives demand ever more accurate and granular forecasts, so you need an analytics tool that can deliver but is easy to implement. Above all, any investment made today must be future-proof.

SAS has market-leading tools that have scaled to meet the data analysis needs of retailers, banks and telcos - and utilities worldwide are using these same tools to improve both forecasting accuracy and business performance.

White Paper

How Does Forecasting Enhance Smart Grid Benefits?®

How SAS can help

Data from Smart Meters will be essential for utilities executives who need timely and accurate forecasts of load growth for strategic planning. SAS Solutions will scale to accommodate that data, helping you identify where load growth is expected and the kinds of customers who contribute to that growth. Future-proof analytics are essential to manage growth better.

  • Better planning: Energy demand is increasing, and load forecasts are essential to predict capital expenditure. SAS Solutions also provide weather-normalised energy sales and revenue forecasts for near-term planning and budgeting.
  • Identify growth patterns: SAS consolidates large volumes of information to create accurate forecasts. Utility executives will learn where load growth is expected on their distribution systems. The results of the analysis will be vital if they are to meet their customers' needs and manage growth.
  • Greater accuracy: A generation ago, utility demand forecasts could be accurate to +/- 5 percent. Today, executives will tolerate forecast errors no larger than 1 percent. By harnessing data from Smart Meters, accuracy is increased.
  • Improve customer service: Use detailed Smart Meter data for household customers to identify patterns of consumption and suggest ways that they can save energy.
  • Cut imbalance costs: The accurate forecasts provided by SAS Solutions reflect true demand patterns. They are also delivered quickly, so your confidence in energy purchasing will improve, and your imbalance costs will fall.
  • Model demand for all customers: SAS's patented statistical forecasting engine uses advanced methods to model and forecast both gas and electricity demand, and the same technology can be used for customers of all sizes without loss of accuracy.

 

Ready to learn more?

Call us at 01628 486 933 (UK) or request more information.

 

 

Questions?

 

White Paper

How Does Forecasting Enhance Smart Grid Benefits?