AI-Driven Innovations in Smart Grid Technology

April 18 @ 11:00 am - 3:00 pm
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The Department of Electrical and Computer Engineering at Pak-Austria Fachhochschule is excited to announce a CPD workshop on AI in Smart Grids: Enhancing Efficiency, Resilience, and Sustainability, where participants will gain hands-on experience using Python for smart grid applications.

  1. Workshop Overview

This workshop aims to introduce professionals to the role of Artificial Intelligence (AI) in modern smart grids. It will cover AI-driven techniques for optimizing energy distribution, improving grid resilience, and enhancing sustainability.

  1. Learning Objectives
  • Understand the fundamentals of AI and machine learning in the context of smart grids.
  • Explore real-world applications of AI in grid optimization, fault detection, and demand-side management.
  • Demonstrate AI-based forecasting for load, generation, and grid stability.
  • Discuss the challenges and opportunities of AI in power systems.
  1. Target Audience
  • Power sector professionals (engineers, analysts, and managers).
  • Academics and researchers in power systems and AI.
  • Graduate students in electrical engineering, AI, and energy systems.
  1. Key Deliverables
  • Hands-on demonstration of AI-based power system analytics.
  • Workshop certificate (CPD accredited).
  • Workshop materials (presentations, case studies, datasets).
  1. Resource Requirements
  • Venue with multimedia setup.
  • Expert speakers from academia and industry.
  • AI software tools for demonstrations (Python, MATLAB).
  1. Budget & Logistics
  • Speaker honorariums.
  • Refreshments and printed materials.
  • CPD certification fee (if required by accreditation body).


Venue: A2-308 DSP and Communication Lab

 Register Now: https://forms.gle/RffdeXCA1iBksNje7

Don’t miss this opportunity to explore cutting-edge AI techniques shaping the future of smart grids!

Details

Date:
April 18
Time:
11:00 am - 3:00 pm
Event Category:

Venue

A2-308

Organizer

Department of Electrical and Computer Engineering