International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE)

Conference Facilities at THE UNIVERSITY OF VAASA, 20-22 May 2024

Sponsored by the IEEE Finland Section, and the IEEE Finland Section IE/PE/IA/PEL Joint Chapter

Scope

The 2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE) delves into the cutting-edge applications of AI and ML within contemporary engineering, with a primary focus on the critical domain of energy transformation. The transformative potential of AI/ML algorithms within the energy sector is vast, impacting aspects like time management, efficiency optimization, sustainability enhancement, reliability assurance, and security reinforcement. It is imperative to underline the fundamental role played by data in ensuring the seamless and precise functioning of AI and ML systems. Within the context of energy transformation, a plethora of data sources are available, including sensor data, social metrics, climate and weather statistics, and even politically related data. Moreover, space has emerged as a crucial source of extensive and diverse data. This workshop will spotlight the integration of data harnessed from satellites, particularly CubeSats, and the synergistic utilization of AI/ML algorithms to bolster and sustain the energy transformation sector. Join us to explore this pivotal theme in depth.

In this workshop, there will be internationally recognized Keynote Speakers, a wide-open and in-depth presentation of contemporary research articles, and a poster session with practitioners and modeling designers. The workshop is supported by the School of Technology and Innovations as well as by the Digital Economy, and VEBIC research platforms, at the University of Vaasa, as well as in collaboration with the Copernicus User Forum Finland, ESA BIC Finland, and sponsored by the IEEE Finland Section, and the IEEE Finland Section IE/PE/IA/PEL Joint Chapter.

Workshop Information

Organising Committee

General Program Chair
Marcelo Godoy Simões (University of Vaasa)

Technical Program Chairs
Heidi Kuusniemi (University of Vaasa)
Mohammed Elmusrati (University of Vaasa)

Publication Chair
Mazaher Karimi (University of Vaasa)

International Advisory Board
Mahdi Pourakbari Kasmaei, Aalto University
S M Muyeen, Qatar University
Qiuhua Huang, Colorado School of Mines
Kalle Kantola, VTT Technical Research Centre of Finland
Ali Nadir Arslan, Finnish Meteorological Institute

Illustration of a committee.

Keynote speaker

Keynote Speakers

1. Prof. Qiuhua Huang, Colorado School of Mines – AI in Power Systems Operations
2. Prof. Peter Palensky, TU Delft – Power Grid Resilience via Deep Learning Methods
3. Prof. Kevin Tansey, University of Leicester  – AI and EO for Sustainability Monitoring

Julia Tutorial

Julia Language for Computational Modeling of Energy Transformation Applications presented by Luca Ferranti and Fabricio Oliveira.

  • Introduction to Julia
  • Neural networks in Julia
  • Differential equations and scientific machine learning in Julia
  • Optimization problems with JuMP

Check the detailed program here !

Call for Papers On

  • Renewable Energy Resources, Distributed Generation Grid Integration, System Protection
  • Emerging AI and ML Technologies in Electric Power and Electrification
  • Power Systems and Electronics Control, Systems Modeling, Data Modeling
  • Electric Motors Drives, Electric Vehicles, Charging Stations
  • Smart Grid, Micro-Grid, Mini-Grid, Nano-Grid, Space-Grid
  • Electric Aircrafts, Electrically Powered Ships
  • Energy Storage Technologies, Hydrogen, Battery Systems
  • FACTS, Custom Power & Power Quality
  • Power and Energy Engineering Education
  • Chiplets and silicon-computation for power electronics
  • Rural Electrification, Remote Locations Power Supply, Ocean Applications
  • Electrolyzers, Fuel Cells, Green Hydrogen
  • IoT, Sensors, Communications and Satellite Data for Power Grids
  • Power Electronics , Power Converters , Intelligent UPS for Data Centers
  • Electrical Machines, Actuators, Automotive Systems, Electrification
  • Smart Devices and Sensors in Home Appliances, Industry and Aerospace
  • Power and Energy Education, Professional Development, Engineering Education
  • Machine Learning applications in satellite remote sensing relevant to the energy sector
  • Impacts of Climate-Change on Power and Energy Systems
  • Cybersecurity in Energy transformation

Full paper submission : 1/March/2024
Submit a full paper, max 6 pages, two-columns, for peer-review, via Easy Chair https://easychair.org/conferences/?conf=aie2024

Templates for the submitted papers
IEEE Manuscript templates for conference proceedings: https://www.ieee.org/conferences/publishing/templates.html

or download a Microsoft Word template here (conference-template-a4.docx)

Notification of Acceptance: 15/April/2024

Final Paper Submission: 1/May/2024

Registration and Publication Fees

Authors with accepted papers: 300 Euros
Authors who are IEEE members and students: 250 Euros
Attendance of participants for audience will be supported by the University of Vaasa

Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements.

Local Organising Committee

• Dr. Suvi Karirinne
• Dr. Muhammad Faheem
• Dr. Mike Mekkanen
• Prof. Miadreza Shafiekhah
• Prof. Xiaoshu Lu
• Assoc. Prof. Petri Välisuo
• Assoc. Prof. Amit Shukla
• Bahaa Eltahawy
• Luca Ferranti
• Camilla Wahlberg
• Sara Nyyssölä

Contribution also from: City of Vaasa (www.vaasa.fi) and
EnergyVaasa cluster (www.energyvaasa.fi)

Information about the venue itself is available from the top
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All illustrations by pch.vector on Freepik