The industry will be experiencing significant operational challenges in the coming years. These challenges cover a wide gamut of topics. Flashover LLC was contracted by Electric Power Research Institute (ERPI) to conduct an informal industry survey to identify these operational challenges. The survey attempted to collect industry concerns in an operating environment timeframe to the engineering planning, outage coordination, and forecasting responsibilities to address identified issues and concerns. These responses will help guide EPRIs future efforts to develop a coherent strategic vision in its mission to support system operations. The presentation for this session will focus on the results of that survey. Room: 401, Bldg: ITE, 371 Fairfield Way, Storrs, Connecticut, United States

In this talk, I will share our recent progress on developing learning algorithms for real-world energy system control, with stability and computational tractability guarantees. The first part is on reinforcement learning for power grid control. I will introduce a novel neural network architecture – monotone neural network (MNN) that ensure the network output is a monotone function of the input. MNN is achieved by first designing neural networks that are convex (with universal approximation guarantee) and using gradients of convex functions to ensure monotonicity. We show that MNN is a powerful structure for voltage control – with stability and optimality guarantees compared to standard neural networks. The second part is about operator learning for building control. There is an emergent need to model indoor air quality to improve occupant health and building energy efficiency. A fundamental challenge is that building airflow dynamics are governed by nonlinear partial differential equations (PDEs) with unknown parameters, which are computationally prohibitive from a real‑time control perspective. I will introduce our work on PDE‑constrained optimization for building model identification and designing neural operator learning for efficient PDE system control. Speaker(s): , Yuanyuan Shi 371 Fairfield Way, Ite 336, Storrs, Connecticut, United States, 06269-0001, Virtual: https://events.vtools.ieee.org/m/478817

Join SHU Innovate as we make oobleck and look at its structure and capabilities! Fairfield, Connecticut, United States

Join SHU Innovate as we put our trivia knowledge to the test! ***CANCELED*** Fairfield, Connecticut, United States

Room: 217, Bldg: Maxcy Hall, 300 Boston Post Road, West Haven, Connecticut, United States, Virtual: https://events.vtools.ieee.org/m/478561

Event overview: - Networking / Eating/Drinking time - IEEE / CT Section / PELS CT Overview - Team/Status Overview from each of Yale & UConn Teams - Open Q&A with an eager audience of tech enthusiasts - (time permitting) Panel session on some focused topics, key challenges (i.e. – PCB layout/EMI mitigation, motor drive best practices, power design/component selection guidance, etc.) - Parallel track of networking with IEEE Senior Members to facilitate elevation to senior member status. Information on becoming an IEEE senior member is (https://www.ieee.org/membership/senior/). Bldg: The Estuary, 220 Main Street, Old Saybrook, Connecticut, United States, 06475

Join SHU Innovate as we host video game night! Come relax with friends for an hour of fun playing numerous video games! Fairfield, Connecticut, United States

This is the inaugural IEEE CT Section Capstone Competition for IEEE-related senior projects in Connecticut colleges and universities. The competition will take place at a different venue from initially advertised: Room 808CD Chapman Hall CT State Community College, Middlesex, CT 06457 Presentations will be talks + slides, not posters, so be prepared for that format. 11:00 Arrive/lunch/Social time 11:30 Brief Introduction 11:35 Mars Rover, University of New Haven 12:05 Taurus - A Quadrupedal Robot Platform, University of Hartford 12:35 Design and implementation of a sign language robotic hand, Trinity College 1:05 Power Quality Monitoring for Critical Equipment, University of Connecticut 1:35 Judges Consult, Social time 1:45 Awards and Farewell Aim for each presentation to be for 15 minutes with 5 to 10 minutes for questions. While demonstrations are encouraged, be aware that each team only has a limited time to present so have a backup video or other way to show the work. Notes: - Lunch sandwiches will be provided. Please let us know if there are any dietary restrictions to be catered for. - Each student can claim a $50 "mileage" reimbursement for travel to the event. - Parking is best had at the bottom car park (green rectangle). The entrance for this parking is at the green circle. - The venue is Chapman Hall (magenta rectangle). - There is extra parking at the orange rectangle. [] Room: 808CD, Bldg: Chapman , 100 Training Hill Rd, Middletown, Connecticut, United States, 06457

The Connecticut Section is offering graduating undergraduate students to purchase stoles to wear during your commencement ceremonies. We are grateful for your student membership and hope you will continue your involvement with IEEE as you transition to your professional careers and future studies. [] To receive a stole, 1. Register for one of the two pickup social events. Let us buy you a meal and a beverage. You’ve earned it. a. Saturday April 26th, 2-5pm - Casa Mia at the Hawthorne, Berlin, CT b. Sunday April 27th, 2-5pm – Elicit Brewing, Fairfield, CT 2. or we can mail the stole to an address of your choosing for an additional fee The stoles cost $35 and can be shipped to an address of your choice for an additional $5. There are 20 stoles available for the section and will be distributed on a first come, first served basis according to registration time. Take pictures! We’d love to share in your celebration. Take pictures before and/or during your graduation and tag us on facebook (https://www.facebook.com/ieeect) or email directly to david.j.broderick@ieee.org Virtual: https://events.vtools.ieee.org/m/480102