Skip Navigation

News / Publications

Targeted Demand Response Reduces Price Volatility of Electric Grid

To reduce the energy load across the entirety of the state’s grid, traditional demand response studies focus on reducing the energy load in high population centers such as Houston and Dallas. However, Dr. Le Xie, professor in the Department of Electrical and Computer Engineering at Texas A&M University, and his team found that focusing on a few strategic locations across the state outside of those high-population areas is much more cost-effective and can have a greater impact on the price volatility of the grid. A machine learning algorithm is utilized to strategically select these demand response locations based on a synthetic Texas grid model.

Elbashir Publishes “Natural Gas Processing from Midstream to Downstream”

Nimir Elbashir, professor of petroleum and chemical engineering and chair of petroleum engineering at Texas A&M University at Qatar and director of the Texas A&M Engineering Experiment Station Gas and Fuels Research Center (GFRC), is co-editor of a new book, “Natural Gas Processing from Midstream to Downstream,” published by Wiley.