Intel has recently released a document that talks about the energy system program with Portland State University's Maseeh College of Engineering and Computer Science.
The energy system called the Big Data Smart Grid Project is a three-year research study that aims to find ways on how to improve long distance power transmission lines work and give municipalities the opportunity to change the way they use power in the long term.
The partnership with Intel will give the university all the necessary tools needed by the researchers in order to develop 'efficient algorithms, determine optimal grid operating parameters, and expand troubleshooting ability'.
"The eventual goal is for multiple data streams to be integrated successfully into the smart grid for analysis and forecasting, enabling maximal flexibility in adapting to real-time changes," Portland State University said in a press release.
Intel uses its Software Academic Program to help the university in their research study. Under the program are the new technologies and renewable resources that can be used to attain the goals of the Big Data Smart Grid Project.
"Intel's involvement in the Big Data Smart Grid Program is helping facilitate rapid analysis of large amounts of data that will ultimately contribute to more effective use of resources across the whole system," stated Dr. Timothy Anderson, Department Chair of Engineering and Technology Management at Portland State University.
Aside from Portland State University, there are other schools which also made use of different tools from Intel Software Academic Program for a rapid transformation. Some of these universities are Texas Tech University, Arizona State University, University of Oregon, Penn State, Georgia Tech, San Diego Supercomputing Center, Harvard University, University of Florida, and more.
"Intel's investment in cryptographic engineering and security research serves as a catalyst to rally the academic community together as we are figuring out what should be included in security curriculum," said Dr. Patrick Schaumont, Associate Professor of Computer Engineering at Virginia Tech.
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