Project 4: IoT-enabled peer-to-peer energy trading

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Project 6: Processing data from a visual IoT sensor of fluid/structure interactions with machine learning REU Students: Pete Orkweha & Alexis Downing.

Project #6: Processing data from a visual IoT sensor of Fluid/Structure interactions with Machine Learning REU Students: Alexis Downing and Pete Orkweha.

Project 6: Processing data from a visual IoT sensor of fluid/structure interactions with machine learning REU Students: Pete Orkweha & Alexis Downing.

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Project 4: IoT-enabled peer-to-peer energy trading REU Students: Eric Elliott & Nicholas Shanklin Graduate mentors: Sharare Zehtabian Faculty mentor(s):

Project 4: IoT-enabled peer-to-peer energy trading REU Students: Eric Elliott & Nicholas Shanklin Graduate mentors: Sharare Zehtabian Faculty mentor(s):

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Presentation transcript:

Project 4: IoT-enabled peer-to-peer energy trading REU Students: Nicholas Shanklin & Eric Elliot Graduate mentors: Sharare Zehtabian & Rehan Faculty mentor(s): Dr. Qun Zhou & Dr. Damla Turgut Week 6 (July 1 – July 5, 2019) Accomplishments: Met with Dr. Zhou spoke on the progression of the project. Physical have the power grid and website up and functioning full the most part. Problem & Solutions Issues we came across this week is implementing python on MATLAB. Issue being that MATLAB we are using is a free trail base and only allow a package deal of 30 products out of their 250 packages. Solution we found a way to implement a power grid in python. Plans for next week: Simulate data we can analysis. Fully implement every aspect of the project from block chain, to machine learning, to power grid. Then focus on a outline for our research poster.