Topic: Big Data Applications in Power and Energy Systems
Due to the increasing demand of energy, researchers and scientists are integrating new technologies to the existing infrastructure, making the new power and energy system more intricate day by day. For the facilitation of continuous monitoring and seamless operation, the huge amount of data generated through numerous sensors and systems are required to be processed continuously. However, typical data analysis tools and techniques fails when such a large volume, velocity, and variety of data are taken into consideration. Big Data is the pathway to capture and process these myriads of data in this interconnected world, and it is taking part in almost every aspect of the recent energy infrastructure, including monitoring, acquisition, distribution, dispatching, maintenance, economy, and marketing. This presentation will focus on the definition of big data analytics in terms of power and energy systems and its applications in smart grids to help the attendees to gain insights of the technology’s present and future prospects. More specifically, the attendees will be able to:
- Familiarize themselves with Big Data
- Learn about various applications of Big Data
- Obtain insights on different data analysis techniques
- Acquire knowledge on tools for Big Data
- Gain an understanding of the roles of Big Data in Smart Grids
- Realize the present and future prospects of Big Data in Energy Systems
- Discover ways to learn and adept in Big Data analytics
Author’s Bio:
Dr. Eklas Hossain is an associate professor in the Department of Electrical Engineering and Renewable Energy and an Associate Researcher with the Oregon Renewable Energy Center (OREC) at the Oregon Institute of Technology (OIT), which is home to the only ABET-accredited BS and MS programs in renewable energy. He has been working in the area of distributed power systems and renewable energy integration for the last ten years and has published a number of research papers and posters in this field. He is currently involved with several research projects on renewable energy and grid-tied microgrid systems at OIT. He received his PhD from the College of Engineering and Applied Science at the University of Wisconsin Milwaukee (UWM), his MS in Mechatronics and Robotics Engineering from International Islamic University of Malaysia, and a BS in Electrical & Electronic Engineering from Khulna University of Engineering and Technology, Bangladesh. Dr. Hossain is a registered Professional Engineer (PE) in the state of Oregon, and is also a Certified Energy Manager (CEM) and Renewable Energy Professional (REP). He is a senior member of the Association of Energy Engineers (AEE) and an Associate Editor for IEEE Access, and IET Renewable Power Generation. His research interests include the modelling, analysis, design, and control of power electronic devices; energy storage systems; renewable energy sources; integration of distributed generation systems; carbon sequestration; microgrid and smart grid applications; robotics, and advanced control system. Dr. Hossain has authored the book “Excel Crash Course for Engineers", “Photovoltaic Systems: Fundamentals and Applications”, and “MATLAB & Simulink Crash Course for Engineers”, co-authored the book “Renewable Energy Crash Course - A Concise Introduction”, and is working on several other book projects. He is the winner of the Rising Faculty Scholar Award in 2019 and the Faculty Achievement Award in 2020 from Oregon Institute of Technology for his outstanding contribution in teaching. Dr. Hossain, with his dedicated research team, is looking forward to exploring methods to make the electric power systems more sustainable, cost-effective, and secure through extensive research and analysis on energy storage, microgrid system, and renewable energy sources.