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

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Project 4: IoT-enabled peer-to-peer energy trading
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):
Project 1: IoT-enabled smart mobility devices for aging and rehabilitation REU Students: Kelly Fullin & Nafisa Mostofa Graduate mentors: Sharare Zehtabian.
Project 7: IoT augmented physical scale model of a suburban home REU Students: Thomas Burns and Gregory Fichthorn Graduate mentors: Safa Bacanli and Sharare.
Project 7: IoT augmented physical scale model of a suburban home REU Students: Thomas Burns and Gregory Fichthorn Graduate mentors: Safa Bacanli and Sharare.
Project 6: Processing data from a visual IoT sensor of fluid/structure interactions with machine learning REU Students: Pete Orkweha & Alexis Downing.
Project 1: IoT-enabled smart mobility devices for aging and rehabilitation REU Students: Kelly Fullin & Nafisa Mostofa Graduate mentors: Sharare Zehtabian.
Project 4: IoT-enabled peer-to-peer energy trading REU Students: Nicholas Shanklin & Eric Elliot Graduate mentors: Sharare Zehtabian & Rehan Faculty.
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.
Project #6: Processing data from a visual IoT sensor of Fluid/Structure interactions with Machine Learning REU Students: Alexis Downing and Pete Orkweha.
Project 1: IoT-enabled smart mobility devices for aging and rehabilitation REU Students: Kelly Fullin & Nafisa Mostofa Graduate mentors: Sharare Zehtabian.
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):
Project 1: IoT-enabled smart mobility devices for aging and rehabilitation REU Students: Kelly Fullin & Nafisa Mostofa Graduate mentors: Sharare Zehtabian.
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 5 (June 24 – June 28, 2019 ) Accomplishments: Analyze the set of data that was given from actual solar readings. Start working on an outline for the Mid semester Report. Looked up implemented ideas for Extreme Machine learning. Problem & Solutions No real problems this week just a lot of reading on Extreme Machine Learning and how to implement it into our research and how previous researchers have used this idea. Plans for next week: Beside Extreme Machine Learning I have came across another paper on Artificial Neural Network (ANN) and will look into it. A recent paper talking about machine learning briefly spoke on the subject.