Project #: IoT-enabled peer-to-peer energy trading REU Students: Eric Elliott & Nicholas Shanklin Graduate mentors: Sharare Zehtabian Faculty mentor(s): Qun Zhou & Damla Turgut Week 2 — June 5th, 2019 – June 7th, 2019 Accomplishments: Reviewed several papers, with the plan to use some of these papers as a basis for our implementation Briefly experimented with solar energy data Met with Dr. Zhou to establish a more firm direction for the project to take, and discuss the general implementation of our simulation framework Began to program simulation of P2P energy trading in Python Problem & Solutions Effectively simulating the behavior of agents involved in P2P trading has proved challenging so far — will either continue to work on algorithmic approaches or possibly work with actual people to establish decision-making behavior Fully understanding an effective approach to model energy usage in a home has been challenging — plan to research this more thoroughly Plans for next week: Continue to program the simulation, experiment with different algorithms to more realistically simulate agent behaviors Begin to implement machine (or deep) learning techniques to model decision making behaviors of agents, as past knowledge of the environment must be taken into account when decisions are made