Forecasting Workshops
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Forecasts provide the foundation for both daily operations and market planning.
Rely on Itron's forecasting training to launch you into the future with increased
knowledge, skills, and confidence.
Through a blend of instruction on forecasting theory with hands-on application,
these workshops guide attendees through the steps of building powerful forecasting
models. Computers and demonstration data will be provided.
Sign up for a workshop today!
If you are interested in traveling to the U.S., there are several other forecasting workshops available. In addition, the annual Itron Users' Conference takes place in October in California.
NEW! Short-term Load Forecasting - Choosing the Right Model
This one-hour live seminar is presented via the internet. We will introduce several alternative model specifications used in short-term load forecasting by applying them to forecasting loads for individual customers and control regions. Model types covered will include day type, linear spline and neural network models. Attendees will obtain a better of understanding of how different model specifications can forecast under various conditions.
Date and Time: Thursday, May 4, 2006 at 15:00 CET
Cost: Free
Register Now
NEW! Amsterdam Energy Forecasting Workshop
Itron is conducting a three-day, hands-on workshop that covers the development of regression and neural network models as they apply to daily and hourly electric forecasts. By blending industry-leading instruction on forecasting theory with hands-on application, the workshop provides energy forecasters with a solid understanding of regression and neural network modelling and the skills necessary to create accurate forecasts. Topics include: regression and neural network theory overview, building daily and hourly energy models, constructing variables for hourly forecasting, portfolio forecasting, and applying forecast models and variables to customer specific data.
Date and Time: September 11-13, 2006 in Amsterdam, Netherlands
Cost: 1200 euros
Register Now
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