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Big Data Analytics in Power Systems
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Technical Webinars: Electrical & Electronic Engineering - Big Data Analytics in Power Systems

Empower Your Future: Master Renewable Energy Integration, Smart Tech, and Power Systems for Sustainable Solutions!

4.0 (3)
29 learners

What you'll learn

Understand the challenges and solutions in integrating renewable energy into power systems.
Analyze the role of smart sensors and AI in transforming industrial applications and power grids.
Develop proficiency in battery energy storage systems to support efficient power systems.
Recognize the importance of data communications in modern power system infrastructure.

This course includes

  • 56 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Keywords

Full Transcript

As power systems become increasingly complex with the integration of renewable energy, smart grids, and IoT technologies, vast amounts of data are continuously generated. This webinar will explore how big data and machine learning are transforming the energy sector by enabling real-time monitoring, predictive maintenance, demand forecasting, and optimization of energy distribution. Attendees will gain insights into data collection, storage, and cleaning techniques, as well as advanced analytics methods applied to enhance reliability, efficiency, and sustainability in power networks. Real-world case studies and future trends, including AI-driven solutions and digital twins, will also be discussed, providing a practical understanding of how data-driven technologies are shaping the future of power engineering. Key Takeaways: 🔹Understand the role of Big Data and Machine Learning in enhancing the efficiency, reliability, and sustainability of modern power systems. 🔹Learn about data lifecycle management in power networks, including best practices for data collection, cleaning, storage, and real-time analytics. 🔹Explore real-world applications and case studies showcasing predictive maintenance, demand forecasting, smart grid optimization, and the future of AI in power system management. Presenter Saeideh Sekhavat, EIT Lecturer Saeideh Sekhavat (Sadie) is a Lecturer, Researcher, and IT professional with a strong background in mathematics and a focus on applying artificial intelligence in healthcare. She holds a bachelor’s degree in Applied Mathematics and a graduate degree in Systems Analysis from the National University of Singapore. Her experience includes the use of AI tools and deep learning techniques for medical image processing and analysis to support healthcare applications. Sadie has also been involved in projects related to data analysis, mathematical modeling, and computational image analysis. She is currently working as a full-time lecturer at the Engineering Institute of Technology (EIT), where she is passionate about delivering practical, industry-focused education. __ The Engineering Institute of Technology (EIT) is one of the only institutes in the world specializing in Engineering. We deliver industry-focused professional certificates, diplomas, advanced diplomas, undergraduate and graduate certificates, bachelor’s and master’s degrees, and a Doctor of Engineering to students from over 160 countries. -- FOLLOW US! Website: www.eit.edu.au Instagram: www.instagram.com/eit_engineering_training Facebook: www.facebook.com/EngineeringInstituteofTechnology LinkedIn: www.linkedin.com/school/engineering-institute-of-technology Twitter: https://twitter.com/enginstoftech TikTok: @eit_engineering_training -- All content in this video is current as of the date of upload. -- EIT CRICOS Provider Number: 03567C | EIT Institute of Higher Education: PRV14008 | EIT RTO Provider Number: 51971 -- #eit #engineeringinstituteoftechnology #engineering #engineeringstudent #studyengineering #bigdataanalytics #powersystems #technicalwebinar

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