- Computer Science
- Geology & Geological
- Institute for Energy Studies
- Prospective Students
- Current Students
- Drillbotics Project
- Grand Challenge Scholars Program (GSCP)
- The BIG Challenge
- Industry Seminar Series
- Leadership & Entrepreneurship Courses
Industry Seminar Series
A series of industry presentations are planned to start from October 2017 on a monthly basis to provide the business skills and management of establishing and running new companies. The seminars will be presented by people from industry who will be sharing with students their success and failure stories in starting their business. The total of 7 short courses listed in Table below, each about 2 hours long, are complementing each other to present a wide range of skills and knowledge for leadership and business development. Certificate of completion will be presented to those who attend the compete series of these short courses.
The content of the 7 modules is as followings:
- Startup ventures or product development in key strategic areas like Sensors, Biomedical Devices, Big Data, Cyber security, but not limited to these.
- Current business opportunities and challenges
- Different types of product development and marketing challenges, and how to leverage them for developing new transformative business ideas
- Different startup opportunities; Critical and transformative areas for business development
- Challenging and transformative ideas for business development
- How to pitch venture ideas; interactions with CEO and CTO from a daily and engineering perspective
- How to write a successful business plan; a review or personal experience about the growth of different startups
Smart Metering Technologies and System Reliability
Date: November 20th 2017
Education Room, 7, 2pm-3:15pm
Abstract: Deployment of new “smart” metering systems has allowed utilities to gather important consumer energy consumption and power quality data. This presentation will touch on the metering technologies currently implemented and outline how a utility uses the data gathered to improve system reliability and support system improvement studies.
Bio. Seth Syverson is the Engineering Manager for Dakota Valley and Northern Plains Electric Cooperatives. He graduated with a M.S in Electrical Engineering in 2004 from the University of North Dakota and a M.S. in Systems Engineering from Missouri University of Science and Technology in 2009.
Machine Learning Applications in Power System
Date/Time: Tuesday Nov 22, 2-2:50pm
Venue: Education Room 7
Presenter: Jeremy Lin, Consultant, PJM Interconnection (Pre-Recorded Session)
Abstract: In the first part, a high level description of PJM RTO (regional transmission organization) will be provided, along with the transitional development of power grid in general. In this regards, the roles and responsibilities of PJM, resource mix, transmission, and market aspects will be presented. Due to the increasing penetration of PMU (phasor measurement units) in the system, the role of big data, data analytics, and machine learning will become more important in the future. In the second part of the presentation, brief summary of machine learning methods and their application areas in power system will be described. Then, some key collaborative projects between PJM and academia in these areas will also be presented. The presentation will conclude by outlining some key challenges faced by the power system of the future.
Bio Jeremy Lin (SM’05) received his M.S.E.E. degree from the University of Illinois at Urbana-Champaign, Urbana, IL, and his Ph.D. degree from the Drexel University, Philadelphia, PA, USA. He is also affiliated with PJM Interconnection, Audubon, PA, USA. He was with GE Energy/Energy Consulting, Schenectady, NY, and Mid-America Interconnected Network Inc. (MAIN), Lombard, IL, USA. His areas of interest include power systems modeling, analysis, economics, operation, planning, as well as design and analysis of electricity markets.