Energy Forecasting

Forecasting 101 Workshop

This two- and half-day, hands-on workshop introduces the use of regression for forecasting applications. Designed for analysts and managers who are new to the forecasting area and do not have a background in statistical analysis. Participants will build sales and load forecasting models using linear regression and exponential smoothing models.

September 26-28, 2023
San Diego, CA

Fundamentals of Sales and Demand Forecasting Workshop

This two- and half-day, hands-on workshop expands on the use of linear regression models in developing sales, energy, and demand forecasts to support the financial and long-term planning processes. Participants will build weather-normalized sales models, develop customer class sales forecast models and estimate peak demand forecasts and address new emerging technologies.

September 26-28, 2023
San Diego, CA

Introduction to Forecasting and SAE Modeling Workshop

This one-day workshop is conducted the day prior to the Annual Energy Forecasting Meeting. The Statistically Adjusted End-Use (SAE) model is designed for developing long-term energy and demand forecasts and entails integrating end-use information into an econometric modeling framework. The workshop covers a general overview of modeling and statistics concepts but focuses on details on the SAE modeling approach and how the framework can be used for evaluating alternative efficiency paths.

March 12, 2024
New Orleans, LA

Advanced Forecast Topics Workshop

The Advanced Workshop is a one-day workshop conducted the day prior to the Annual Energy Forecasting Meeting. The workshop explores various areas of forecasting and the topics vary by year. The topics to be covered are still to be determined. If you have suggestions, please let us know.

March 12, 2024
New Orleans, LA

Electric Vehicle (EV) Load Shapes

The EV market continues to grow exponentially and is impacting your distribution and system planning. This Brown Bag will review the different types of EV load shapes for residential, workplace, fleet, and public charging and how to include them in your forecasts.



March 21, 2023; noon Pacific - online

Regression Methods from A to Z

In addition to Ordinary Least Squares, there are a variety of linear regression estimation methods. These include Ridge, Lasso, LAD, Elastic Net, Support Vector, Quantile, and RegARMA. This Brown Bag provides an overview of the methods and provides comparisons of out-of-sample accuracy when applied to daily energy modeling.

May 2, 2023; noon Pacific - online

Distributed Solar PV Generation

The issues surrounding Solar PV is a growing concern across the globe. This brown bag will focus on the latest thinking on real-time load forecasting in the presence of distributed solar PV generation. This topic will be presented on three different days and times to allow for live interactions. Please join the one that is most convenient for you.








August 8, 2023; 11:00 am AEST (August 7, 2023; 6:00 pm Pacific) - online
August 8, 2023; noon Pacific - online
August 9, 2023; 4:00 pm CEST (7:00 am Pacific) - online

Statistically Adjusted End-use Methodology and Trends

The Statistically Adjusted End-Use Model (SAE) is an end-use modeling approach that leverages The Energy Information Administration (EIA) Annual Energy Outlook. The SAE framework has been adopted by numerous utilities and is supported by Itron through the Energy Forecasting Group (EFG). The recent passage of the Inflation Reduction Act (IRA) will provide significant funding for increased efficiency, electrification, and PV and EV adoption further complicating the forecasting process. This Brown Bag will provide an overview of the SAE model and discuss how IRA impacts can be accounted for within the SAE modeling framework with a focus on the residential sector.

October 10, 2023, noon Pacific - online

2023 Forecast Accuracy Benchmarking Survey & Energy Trends – Survey Participants Only

In January 2023, Itron will launch its annual forecasting accuracy benchmark survey. This is Itron’s 11th year of collecting information about the industry’s electric and natural gas forecasting practices and examining current issues. This year, only survey participants will be able to attend this Brown Bag to review the results and implications of the survey. To participate in the survey, please email Paige at Paige.Schaefer@itron.com.

December 5, 2023, noon Pacific - online