Training
Energy Forecasting Workshops

Itron is always at the forefront of the energy forecasting field. We are helping our customers around the world understand the complexities of energy forecasting and talking about the latest forecasting issues and solutions. Take advantage of Itron’s expertise and experience to gain insightful knowledge and help you to improve your forecasts.

For more than 15 years, Itron has trained hundreds of energy forecasters. See why our blend of lecture on real-world examples, demonstration of modeling techniques, and hands-on exercises executed by attendees is a verified recipe for successful learning. Rely on Itron's forecasting training to provide your organization with increased knowledge, skills and confidence.

Itron wants to share its knowledge and foster the sharing of ideas and solutions in the energy forecasting community. Itron coordinates several important meetings each year so that forecasters can come together and benefit from networking and sharing ideas. Consider attending one of the annual meetings listed below.

Select a workshop, webinar or meeting from the list below for detailed information. Itron also provides on-site training. We can also customize training courses to meet the specific needs of your group. Contact Shannon Ashburn for more information.

Workshops

Australian Energy Forecasting Workshop
This two-day forecasting workshop focuses on the development of regression and neural network models as they apply to short-term load forecasting. The workshop blends industry-leading instruction on forecast modelling theory with hands-on application. Participants will learn about useful modelling variables and constructs for capturing weather-sensitive and non-weather sensitive load variation. By the end of the course, participants will develop strong hands-on experience developing regression and neural network models that support short-term load forecasting.

The course is designed for those new to energy forecasting and forecast analysts who want to build upon their existing modelling skills. Participants with existing modelling experience will learn how to improve the accuracy of their existing forecast models, and be more comfortable explaining forecast results.
Date/Location: TBD
Prerequisites: Working knowledge of Microsoft Excel and using Excel formulas for data transformation.
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Energy Forecasting 101
New to energy forecasting? This introduction to the use of regression for forecasting applications is designed for analysts and managers who are new to forecasting are and do not have a background in statistical analysis. Using hands-on examples, workshop participants will build sales/load forecasting models using linear regression and exponential smoothing models. At the end of this three-day session, attendees will have a strong understanding of basic regression theory, how to apply it to energy forecasting applications, and how to use the model statistics to develop accurate forecasting models.
Date/Location: February 27 - March 1, 2017 — Washington, DC
Prerequisites: No background in statistics is required, although it will be useful, as mathematical concepts will be covered.
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European Energy Forecasting Workshop
Itron's three-day forecast modeling workshop provides forecast analysts with hands-on experience developing regression and neural network models as they apply to short-term power and gas load forecasting, and wind and solar generation forecasting. The workshop is designed for participants to work interactively with the instructor and fellow participants while developing forecast models. The cooperative nature of this workshop encourages participants to explore alternative modeling approaches that will lead to a deeper understanding of modeling issues and alternative model specifications.
Date/Location: TBD
Prerequisites: None.
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Fundamentals of Modeling Energy and Demand Forecasting
This fundamentals class builds on what is covered in Itron's Forecasting 101 workshop. In this class, participants will expand their use of load analysis and forecasting applications, ability to analyze sales and customer trends, and build stronger and more accurate forecast models. This course is designed for analysts responsible for developing (1) budget and sales forecasts, (2) budget variance analysis, and (3) long term planning forecasts to support long-term financial and resource planning. The techniques discussed and applied in this course may be applied to forecasts ranging from 1 to 30 years ahead.

In this hands-on workshop, participants will learn to evaluate customer usage trends and implications for future demand, estimate regression-based weather normalization models, sales, energy and peak demand models. Exercises in this course will include:
  • Weather normalizing sales and evaluating customer usage trends
  • Calculating unbilled sales and transforming billed sales to calendar-sales
  • Estimating Statistically Adjusted End-Use (SAE) sales forecast models
  • Transitioning from sales forecasts to energy and peak forecasts
  • Constructing a system hourly load forecast
By the end of the three-day course, participants will have (1) a solid understanding of the key issues in developing customer, sales, peak, and hourly load forecasts for budgeting planning applications, (2) a better understanding on how to integrate DSM programs, distributed generation (e.g. photovoltaics) and new technologies (e.g. electric vehicles) into the forecast, and (3) a stronger understanding on using linear regression models for weather normalization, calculating unbilled sales, and tracking forecast performance.
Date/Location: October 3-5, 2017; Chicago, IL
Prerequisites: Participants must have experience working with regression models. Exercises will requires working knowledge of Excel.
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Fundamentals of Short-term Operational Forecasting
The growing penetration of behind the meter solar generation presents new modeling challenges for analysts responsible for delivering operational forecasts. This workshop provides hands-on experience developing near-term forecasts which account for the impact of behind the meter solar generation.

The first part of this two-day forecasting workshop focuses on the development of regression and neural network models as they apply to short-term load forecasting. The workshop blends industry-leading instruction on forecast modeling theory with hands-on application. Participants will learn about useful modeling variables and constructs for capturing weather-sensitive and non-weather sensitive load variation. Attendees will then develop a statistically adjusted engineering approach to forecasting behind the meter solar generation given forecasts of solar irradiance. Finally, attendees will implement three alternative frameworks for incorporating the generation forecasts into the near-term load forecast. By the end of the course, participants will develop strong hands-on experience developing regression and neural network models that support short-term load and generation forecasting.

The course is designed for those new to energy forecasting and forecast analysts who want to build upon their existing modeling skills. Participants with existing modeling experience will learn how to improve the accuracy of their existing forecast models, and be more comfortable explaining forecast results.
Date/Location: September 18-19; San Diego, CA
Prerequisites: None.
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One-Day Modeling Workshop — Advanced SAE
Back by popular demand, Itron will hold another advanced SAE modeling class at the Spring EFG User Meeting. This will be a one-day/hands-on workshop for forecast analyst that have been working with the SAE model. Topics will include evaluating and determining SAE model parameters and economic drivers, calibrating end-use intensity to your own residential appliance saturation surveys and usage data. Developing end-use energy estimates for forecasting peaks and constructing EE program adjusted end-use energy intensities. The workshop will also explore integrating end-use data and SAE results into estimating SAE peak demand forecast models. Maximize your trip and sharpen your skills!

This one-day workshop is prior to the Annual Energy Forecasting Meeting (EFG) on April 26-28 but meeting attendance is not a requirement for workshop participation.
Date/Location: April 25, 2017 — Chicago, IL
Prerequisites: None
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One-Day Modeling Workshop — Introduction to SAE
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 approach is designed to explicitly capture the impact of end-use saturation and efficiency trends as well as economic conditions on long-term residential and commercial energy demand. SAE models can also be used for developing long-term peak demand forecasts.

The workshop includes a detailed overview of the SAE modeling approach. Attendees will build MetrixND Residential SAE models and explore how the SAE modeling framework can be used for evaluating alternative efficiency paths resulting from utility-sponsored energy efficiency programs.

This one-day workshop is prior to the Annual Energy Forecasting Meeting (EFG) on April 26-28 but meeting attendance is not a requirement for workshop participation.
Date/Location: April 25, 2017 — Chicago, IL
Prerequisites: Familiarity with MetrixND software.
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Brown Bag Webinars

Modeling the Impact of Solar PV, EV & TOU on Hourly Loads
During this Brown Bag, we will present Itron’s next generation Long-term Hourly Load Forecasting model that provides utilities with a valuable tool for assessing the long-run impact on their hourly load obligations of deep penetration of Electric Vehicle Charging, Behind-the-Meter Solar PV & Storage, Zero Net Energy home standards, Time-of-Use Rate Structures and Retail Load Loss associated with Customer Choice Aggregation. Designed to work with or without customer-level AMI data, the modeling framework generates long-term hourly load forecasts by user-defined customer and geographic aggregations. The data driven dimensions of the load forecasting problem make this useful for long-term financial planning, generation planning, and distribution level capacity planning. The diversity of customer class and geographic detail helps utilities identify future hotspots of increased load volatility associated with increased penetration of behind-the-meter Solar PV generation. At the same time, the tool allows utilities to analyze how the increased load volatility can be mitigated with energy efficiency, demand response, and TOU Rate programs. An optional module allows a utility to develop long-run hourly forecasts of generation from grid-connected solar plants and wind farms. Combining the long-term hourly load forecasts with the forecasts of grid-connected solar and wind generation provides a forecast of Net Load. A micro simulation engine that simulates alternative real-life weather patterns through the models provide realistic forecast distributions of monthly and annual peak, energy consumption, and grid-connected solar and wind generation. Further, the hourly forecasts can be used to provided forecasted distributions of Customer Class, City or Distribution Zone, System and Net Load loads and ramp rates by Hour, Day-of-the-Week, Month, Season and Year.
Date/Location: February 7, 2017 — Online
Prerequisites: None.
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Modeling Humidity Effects
Although temperature is known to be the main weather-related factor driving energy use, other weather conditions also matter. This brown bag focuses on the role of humidity. We examine alternative humidity measurements, including dew point temperature, wet bulb temperature and relative humidity. Neural network models of daily energy are then used to explore the interaction between humidity and temperature, and to construct optimized temperature/humidity index variables. Out-of-sample tests are performed to quantify the impact of humidity variables on model accuracy.
Date/Location: May 23, 2017 — Online
Prerequisites: None.
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2017 Forecast Accuracy Benchmarking Survey and Energy Trends
In early 2017, Itron will conduct its fourth annual forecasting accuracy benchmark survey. During this Brown Bag session, Itron will discuss the survey results and implications.
Date/Location: September 12, 2017 — Online
Prerequisites: None.
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Load Research in an AMI World: Why ? How? And Results
With market penetration of a range of new technologies, traditional demand econometric models will no longer be sufficient. End-use and technology hourly load profiles will play a bigger role in accurately capturing the impact of these technologies on system loads and peak demand. AMI systems hold a tremendous wealth of information on customer usage that can be mined for developing these profiles and used in supporting forecasting, marketing, and developing energy efficiency programs. This presentation shows how AMI data can be mined without having to add-up millions of data points through load research based on large samples and shows results including developing total house load requirements for solar customers.
Date/Location: December 5, 2017 — Online
Prerequisites: None.
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Other Forecasting Meetings

Itron Utility Week
The Analytics and Applications track includes topics geared to the interests of energy forecasters. Attend the Itron Users' Conference and learn how to improve your forecasts, meet your peers, and hear what techniques and processes they are using to forecast energy.
Date/Location: October 13-20, 2017 — Houston, TX
Prerequisites: None.
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European Forecasting User Meeting
The 11th annual European Forecasting User Group Meeting offers an excellent opportunity to gather with other users of MetrixND and MetrixIDR, exchange work experience, network and further enlarge the horizon of knowledge in the forecasting arena. This meeting offers an excellent opportunity to gather with other users of MetrixND and MetrixIDR, exchange work experience, network and further enlarge the horizon of knowledge in the forecasting arena. Attendance is limited to licensed users of MetrixND and MetrixIDR.
Date/Location: TBD
Prerequisites: None.
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Australian Forecasting User Meeting
This Australian Forecasting User Meeting offers an excellent opportunity to gather with other users of MetrixND and MetrixIDR, exchange work experience, network and further enlarge the horizon of knowledge in the forecasting arena.
Date/Location: TBD
Prerequisites: None.
Notify me when the next Australian Forecasting User Meeting is scheduled
15th Annual Energy Forecasting Meeting (EFG)
The 15th Annual Energy Forecasting Meeting brings you two and half days of topical presentations and discussions. General sessions include EIA presentations, economy and industry overviews and updates, demand-side planning, peak forecasting, long-term end-use forecasting and the SAE modeling approach. No matter where your area of forecasting interest lies, this meeting is an excellent forum to exchange ideas and hear about modeling concepts, data development, efficiency trends, and related issues from industry speakers. Peer presentations, roundtable discussions and industry expert presentations round out the agenda. Maximize your trip and sharpen skills by attending an optional one-day workshop prior to the meeting on April 25.
Date/Location: April 26-28, 2017 — Chicago, IL
Prerequisites: None.
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11th Annual ISO/RTO/TSO Forecasting Summit
This year, we will gather in San Antonio, Texas! The ISO/RTO/TSO Forecasting Summit provides a forum that brings energy forecasters together to address the unique forecasting challenges faced by independent system operators around the world. Over the past 10 years of meetings, the Summit discussions have ranged from sub-hourly forecasting models and techniques that support generation scheduling and dispatching, to long-term forecasting supporting capacity planning. Each year, there is special focus spent on emerging issues such as forecasting solar generation and constructing load forecast uncertainty. Don’t miss this opportunity to network with your peers and discuss real world issues and practical solutions. The 2017 agenda topics were decided by ISO representatives during a January conference.
Date/Location: May 16-18, 2017 — San Antonio, TX
Prerequisites: Attendance is limited to ISO/RTO/TSO representatives.
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