Carnegie Mellon University's Ole Mengshoel has received a two-year, $498,000 U.S. National Science Foundation grant to develop new computer tools that improve and integrate the way information is displayed and analyzed. "The project will develop new techniques that integrate visualization processes and analytical tools, including data mining and machine learning, that will enable improved monitoring of large utility projects," Mengshoel says.
Mengshoel has developed novel monitoring and data mining algorithms to improve operation estimates for large-scale networks such as those that power the U.S.'s electrical power grid. Large electrical power and computer networks need to work more robustly, efficiently, and economically, he says.
"As the global population grows and energy demand increases, and generation shifts toward the use of renewable energy sources such as solar and wind, we all need to learn to create and use energy more reliably and efficiently, and our research will help us to push energy economy to the extreme," Mengshoel says.
From Carnegie Mellon News
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