Forecasting
Short-term Load Forecasting: A Practitioner’s Handbook
November 20, 2018
Ever wonder how to build a day-ahead load forecasting model? This Brown Bag provides a high-level walk through of the process. This presentation includes:
- Data analysis and cleaning.
- Weather stations and concepts selection.
- Construction of key explanatory variables.
- Technique selection.
- Final model specification.
Along the way, we will introduce a handbook that Itron has written describing the practical steps involved in developing day-ahead load forecasting models.
To register, for this Brown Bag and other forecasting events, go to 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 Pacific-time.
If you can’t 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.
Paige Schaefer is a Product Marketing Manager in Itron’s Outcomes group for the strategy, planning and implementation of projects supporting marketing functions spanning electricity, water and gas business units. She interacts directly with sales, product and corporate marketing to identify new marketing opportunities, recommend actions and the coordination of targeted campaigns to increase brand awareness and market share where she works closely with the teams to develop content and strategies. In addition, she provides website support, event coordination and manages Itron’s Energy Forecasting Group (EFG), which supports end-use data development, the Statistical End-use Approach (SAE) and coordinates their annual meeting for discussing modeling and forecasting issues. Paige has a B.S. in Business Administration from San Diego State University with an emphasis in Marketing.