At the TryEngineering Summer Institute (https://tryengineeringinstitute.ieee.org/), teens will explore various engineering fields, such as electrical, civil, mechanical, and aerospace. Our STEM summer course allows you to meet working engineers and experience VIP tours of engineering companies and centers. Learn new skills and engage in hands-on projects that explore how engineers can solve real-world problems. Program highlights found here: https://tryengineeringinstitute.ieee.org/summer-program/ See tuition information for enrollment in one 10-day session online-- these are on-campus residential camps with commuter-day options. Philadelphia, PA (University of Pennsylvania) - Session 1: July 9, 2023 - July 18, 2023 - sold out - Session 2: July 21, 2023 - July 30, 2023 Houston, Texas (Rice University) - Session 1: June 30, 2023 - July 9, 2023 - Session 2: July 12, 2023 - July 21, 2023 San Diego, California (University of San Diego) - Session 1: June 30, 2023 - July 9, 2023 - Session 2: July 12, 2023 - July 21, 2023 Co-sponsored by: IEEE Educational Activities - TryEngineering Summer Institutes San Diego, California, United States, 92110

The 2023 Atlantic Tropical Outlook was recent updated by experts prompting much curiosity regarding what to expect for this year's hurricane season. Questions that you might have asked yourself may include: o How do expert forecasts differ for the number of tropical systems? o What can historical data and past hurricane seasons teach us for preparing for 2023 activity? o How does El Nino factor into how active hurricanes might be within the Atlantic Ocean? o When should forecasts be updated to include new information like record Sea Surface Temperatures? This month's presentation will review the tropical weather that has occurred to date within the Atlantic Basin, will describe the phenomenon of El Nino in relation to hurricane activity, and discuss what past observations of storms can/cannot teach us about what to expect as we approach the busiest part of the hurricane season. Co-sponsored by: IEEE-USA MOVE Program Speaker(s): Jason Luze Virtual: https://events.vtools.ieee.org/m/366746

The power system industry is shifting towards a new digitalization era to better manage risk within volatile energy commodities, increase customer engagement, and enhance efficiency via grid optimization. Data analytics play a vital role in this transformation and, as such, different measurement architectures have been used and implemented to facilitate data capturing process and supervisory control at the generation, transmission, and distribution levels. This seminar will briefly review the recent outcomes of some smart grid challenges addressed by novel prediction techniques. At the generation level, decomposition techniques have been applied to handle the inherent uncertainty in short-term wind power prediction. At the transmission level, dynamic thermal line rating prediction has been studied as a viable solution to reduce congestion and utilize the actual capacity of the line. Considering the high inclusion of phasor measurement units at the transmission level, cutting-edge methods have been proposed to address stability status prediction of the grid following a contingency. Finally, at the distribution level, real-life data obtained from advanced metering infrastructure have been used for load prediction and customer segmentation. Speaker(s): , Prof. CY Chung Agenda: 11am | Begin event, introductions 11:10am | Presentation: Advanced Prediction Techniques Applied to Smart Grids 11:50am | Q&A 12pm | Event ends Virtual: https://events.vtools.ieee.org/m/366046