MECH4365 - Energy Analytics

MECH 4365 Energy Analytics (3 semester credit hours) Lecture course. Energy analytics introduces energy systems and data analytics, which include the use of data, statistical and quantitative analysis, exploratory and predictive models, and data visualization to inform power and energy systems decisions and actions. The key objective of this course is to familiarize the students with most important analytics technologies used in managing and analyzing big data in energy systems (especially in renewable energy systems such as wind and solar). This course will cover major energy-related applications of descriptive and predictive analytics, such as energy data analysis, energy resource analytics, design of experiments, response surface, load forecasting, price forecasting, renewable generation forecasting, demand response and customer analytics, and utilities outage analytics. Students will use R/Python for project design. The course builds on prerequisite knowledge in engineering mathematics, probability, and statistics. Prerequisites: ENGR 2300 and ENGR 3300 and ENGR 3341. (3-0) Y