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2016 Energy Forecasting Workshops and Meetings


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 over 20 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
      • 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.
      • TBD
      • Prerequisites: Working knowledge of Microsoft Excel and using Excel formulas for data transformation.
        Notify me when the next Australian Energy Forecasting Workshop is scheduled
      • 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.
      • February 1-3, 2016 - Dallas, TX
      • Prerequisites: No background in statistics is required, although it will be useful, as mathematical concepts will be covered.
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      • 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.
      • May 18-20; Amsterdam, Netherlands
      • Prerequisites: None.
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      • Do you develop 1 to 5 year sales and customer forecasts to support budgeting and financial planning? This course focuses on the use of regression models and simulations for sales forecasting and tracking forecast performance. By the end of this two-day course, participants will develop a stronger understanding on using linear regression models for forecasting, evaluating sales trends, calculating unbilled sales, and tracking forecast performance. Itron is always at the forefront of the energy forecasting field. We help our customers understand the complexities of forecasting. Take advantage of Itron’s expertise and experience to help you improve your forecasts. For over 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. This course builds on the forecasting foundation taught in the Forecasting 101 workshop. Participants must have a solid understanding of regression model statistics. The hands-on exercises in this workshop use MetrixND, Itron's statistical modeling software. Knowledge of this software is helpful, but not a requirement for this course. The techniques taught can be applied to any software product that you use.
      • November 4-5, 2015 - San Diego, CA
      • Prerequisites: This course builds on the forecasting foundation taught in the Forecasting 101 Workshop. Participants must have a solid understanding of regression model statistics.
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      • 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.
      • September 26-28, 2016 - Chicago, IL
      • Prerequisites: Participants must have experience working with regression models. Exercises will requires working knowledge of Excel.
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      • 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.
      • September 21-22, 2016 - San Diego, CA
      • Prerequisites: None.
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      • Based on recent requests, Itron will hold an advanced SAE modeling class at the Spring EFG workshop. 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 May 17-20 but meeting attendance is not a requirement for workshop participation.
      • May 17, 2016 – Scottsdale, AZ
      • Prerequisites: None
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      • 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 May 18-20 but meeting attendance is not a requirement for workshop participation.
      • May 17, 2016 – Scottsdale, AZ
      • Prerequisites: Familiarity with MetrixND software.
        More Information and Registration


Brown Bag Webinars


Other Forecasting Meetings
      • This year, we celebrate 10 years of collaboration! 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. The Summit discussions will range from sub-hourly forecasting models and techniques that support generation scheduling and dispatching, to long-term forecasting supporting capacity planning. Special focus will be spent on emerging issues such as forecasting solar generation and constructing load forecast uncertainty. Don’t miss this opportunity to network with your peers; discuss real world issues and practical solutions.

        The Summit begins with an optional, one-day, workshop that will include the annual model building competition which prompts great model dissection discussions. For part of this day, Itron's experts will lead your through a deep dive into the MetrixIDR modeling framework. If you are a MetrixIDR user, you won't want to miss this! The next day and a half will be filled with presentations and group roundtables.

        The 2016 agenda is a work in progress and is created by the group and attendees. Presentation topics and speakers will be posted on an Agenda tab to this website after the planning meeting conference call on February 24, 2016.
      • May 3-5, 2016 - Chicago, IL
      • Prerequisites: Attendance is limited to ISO/RTO/TSO representatives.
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      • The 14th 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 May 17.
      • May 18-20, 2016 - Scottsdale, AZ
      • Prerequisites: None.
        More Information and Registration
      • The 10th 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.
      • May 23-25, 2016 - Lille, France
      • Prerequisites: None.
        More Information and Registration
      • 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.
      • October 16-18, 2016 - Orlando, FL
      • Prerequisites: None.
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