Teaching - Dr. Tao Hong @ UNC Charlotte

Teaching

Courses

SEGR4961/EMGT5961 Introduction to Energy Systems
SEGR4963/EMGT5963 Energy Systems Planning
SEGR4964/EMGT5964 Case Studies in the Energy Industry
EMGT6910/INES8090 Forecasting Techniques, Methodologies and Practice
EMGT6912/INES8090 Computational Intelligence
EMGT6965/INES8090 Energy Analytics

Recommended Reading List

Blog post (Tao's recommended reading list for energy forecasters)

Archived Courses, Workshops, Talks and Lectures

Energy Forecasting Webinar Series (schedule, registration and evaluation)
SAS/BKS Electric Load Forecasting: Fundamentals and Best Practices

C1: SAS Business Knowledge Series - Electric Load Forecasting: Fundamentals and Best Practices

C2: 100 Years of Load Forecasting: Classics, Challenges and Best Practices with Smart Grid Information

C3: Power Distribution System Losses

W1: Statistical Models for Electric Load Forecasting

W2: Assessment of Forecasting Practices

W3: Advanced Topics in Electric Load Forecasting

T1: How Accurate is My Forecast? (WebEx recording available)

T2: One Day Ahead Hourly Load Forecasting

T3: On the Holiday Effect of Electricity Demand

T4: From Load Forecasting to Demand Response

T5: Modernization of Long Term Load Forecasting

T6: Forecasting Fundamentals for Utility Planners and Engineers

T7: Electric Load Forecasting with Geographic Hierarchy

T8: When Predictive Analytics Meets Smart Grid: From Big Data To Modern Forecasting Methodologies (WebEx recording available)