Electric Load Forecasting: Fundamentals and Best Practices
Durchgeführt von Tao Hong, Ph.D., Assistant Professor and NCEMC Faculty Fellow, University of North Carolina, Charlotte
This course introduces electric load forecasting from both statistical and practical aspects using language and examples from the power industry. Through conceptual and hands-on exercises, participants experience load forecasting for a variety of horizons from a few hours ahead to 30 years ahead. The overall aims are to prepare and sharpen the statistical and analytical skills of participants in dealing with real-world load forecasting problems and improve their ability to design, develop, document, and report sound and defensible load forecasts.
According to statistics gathered on the first five offerings, this course was highly rated by students who ranged from new graduates with no industry or SAS experience to forecasting experts with over 30 years of industry experience and over 20 years of SAS programming background. The students represented all sectors of the industry: G&T, ISO, distribution companies, REPs, IOU, co-op, municipal, regulatory commission, and consulting firm. Titles of the participants ranged from analyst, engineer, manager, to director and vice president.
For advanced topics, pair this course with Electric Load Forecasting: Advanced Topics and Case Studies. The two courses are offered on contiguous days.Lernen Sie, wie Sie / Learn how to
Zielgruppe / Who should attendLoad/price forecasters, energy traders, quantitative/business analysts in the utility industry, power system planners, power system operators, load research analysts, and rate design analysts
Before attending this course, you should:
In diesem Kurs wird mit folgenden Software Modulen gearbeitet / This course addresses SAS/ETS, SAS/STAT Software
Introduction to Electric Load Forecasting