Forecasting
Using Neural Networks to Build Robust Hourly Models
February 14, 2018
Our first brown bag seminar of the year is entitled, “Using Neural Networks to Build Robust Hourly Models.” Neural networks are flexible functional forms that learn about nonlinear relationships from the data. These models can be used to identify nonlinearities and variable interactions and to construct x variables that embody these relationships. Learn more about these variables and how they can be used in regression models that have rich relationships that are also simple and robust.
Join us on Tuesday, Feb. 20. To register, for this Brown Bag and other forecasting events, go to this link: http://www.itron.com/forecastingworkshops.
Participation is free, but prior registration is required. Each seminar lasts approximately one hour, allowing 45 minutes for the presentation and 15 minutes for questions. Seminars start at noon PST. If you cannot attend a seminar or missed one, don’t worry. Your registration ensures that a link to the recording will be sent to you automatically approximately one week after the seminar date.
Join us on Tuesday, Feb. 20. To register, for this Brown Bag and other forecasting events, go to this link: http://www.itron.com/forecastingworkshops.
Participation is free, but prior registration is required. Each seminar lasts approximately one hour, allowing 45 minutes for the presentation and 15 minutes for questions. Seminars start at noon PST. If you cannot attend a seminar or missed one, don’t worry. Your registration ensures that a link to the recording will be sent to you automatically approximately one week after the seminar date.
Region Selector
Select a region and country for the best experience.