Program

The 2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE)

Nissi auditorium, Ankkuri building

Monday 20.5.2024

9.00 Start and coffee
9.30 Welcome speech (prof. Marcelo Godoy Simões & dean Raine Hermans, University of Vaasa) & presenting the schedule
10.00 – 11.00 Keynote speech #1:
Prof. Qiuhua Huang, Colorado School of Mines
Convergence of AI, Physics, Computing, and Control for Energy Transformation
Session-1:
AI / ML for Smart Energy Systems
Chair: 
Enio Costa Resende, Federal University of Uberlândia & University of Vaasa
11.00 – 11.20 Comparison between Symmetrical Short Circuit Current Contribution of Droop-Based Grid Forming Converter and Synchronous Generator (Jumana Abu-Hamad, Princess Sumaya University)
11.20 – 11.40 Data-Driven Intermittent Earth Fault Detection Compensated and Isolated MV Networks (Meysan Pazmi, University of Vaasa)
11.40 – 12.00 A Novel Approach to Prediction of the Transient Recovery Voltages in Shunt Reactor Circuit-Breakers and Determination of Hazardous Operation in High-Voltage Transmission Systems (Negar Dashti, Istanbul Technical University)
12.00 – 12.20 Analyzing the Performance of AC Microgrids in Stand-Alone Operation with Artificial Neural Network Controllers (Qudrat Ullah, University of Vaasa)
12.20 Lunch at August
13.20 – 14.20 Keynote speech #2:
Prof. Kevin Tansey, University of Leicester
AI and EO for Sustainability Monitoring
Session-2:
AI/ML for Sustainable Energy and Power Systems
Chair: 
Enio Costa Resende, Federal University of Uberlândia & University of Vaasa
14.20 – 14.40 Virtualized Intelligent Relaying of Smart Grid Over 5G Network (Talal Saleh, University of Vaasa)
14.40 – 15.00 Inverter Dynamic Response Simulation via Neural Ordinary Differential Equations (Qiuhua Huang, Colorado School of Mines)
15.00 – 15.20 Advancing Sustainable Maritime with AI/ML Enhanced Hardware-in-the-Loop Testing (Janne Koljonen, University of Vaasa)
15.20 – 16.20 Coffee break at Café Oscar & Poster Session in Lobby
16.20 – 16.40 Your Very Own Polar Bear: Drawing Attention to Household Energy Efficiency Through Gamification (Jussi Rasku, Tampere University)
16.40 – 17.00 Digital Technologies and AI Solutions for Electrification and Automation Off-Road Mobile Machinery Applications (Tatiana Minav, Tampere University)
17.00 End of day
19.00 Cocktail event at Maaherrantalo (Koulukatu 2), sponsored by city of Vaasa 

Nissi auditorium, Ankkuri building

Tuesday 21.5.2024

9.00 Start, coffee, and posters in lobby
9.30 Keynote speech #3:
Prof. Peter Palensky, TU Delft
Power Grid Resilience via Deep Learning Methods
Session-3:
Secure & Intelligent Control and Monitoring of Smart Energy Systems
Chair: 
Muhammad Faheem, University of Vaasa
10.30 – 10.50 DERs Orchestration and Gen3 Blockchain Integration in P2P Trading based Distribution Network (Liaqat Ali, Powerledger)
10.50 – 11.10 A Normal Behavior Model Based on Machine Learning for Wind Turbine Cyber-Attack Detection (Hamed Badihi, Tampere University)
11.10 – 11.30 Towards a Model for Assessing the Effects of Social-Cyber-Physical Threats on the Future Power Grid – Review and Workshop Results (Bahaa Eltahawy & Petra Berg, University of Vaasa)
11.30 – 11.50 Fundamental Assessment of Oscillatory Performance of Grid-Forming Integrated Systems (Peter Palensky, TU Delft)
11.50 – 12.10 Predictive Analysis of Transformer Faults Through Vibration Signatures and One-Dimensional Convolutional Neural Networks (Mehdi Bagheri, Nazarbayev University)
12.10 Lunch at August
13.10 – 13.30 INDUSTRY TALK – AI Solution Experiences in Industry and Smart Cities by Managing Director Pasi Tuominen, WAPICE Ltd.
13.30 – 13.50 Common Challenges and Solutions of AI Across Industries (Calina Ciunhu, Eindhoven University of Technology) 
13.50 – 14.40 Tutorial: Introduction to Julia (Luca Ferranti, University of Vaasa & Fabricio Oliveira, Aalto University)
14.40 – 15.30 Tutorial: Machine Learning with Flux (Luca Ferranti, University of Vaasa & Fabricio Oliveira, Aalto University)
15.30 – 16.15 Coffee break at Café Oscar & Poster session in lobby
16.15 – 17.15 Tutorial: Scientific Machine Learning in Julia (Luca Ferranti, University of Vaasa & Fabricio Oliveira, Aalto University)
17.15 – 18.00 Tutorial: Optimization in Julia with JuMP (Luca Ferranti, University of Vaasa & Fabricio Oliveira, Aalto University)
End of day
19.00 Dinner at Strampen restaurant (Rantakatu 7, Vaasa)

 

Nissi auditorium, Ankkuri building

Wednesday 22.5.2024

9.00 Start and coffee & posters in lobby
9.30 Keynote speech #4:
Prof. Moustafa Youssef, American University in Cairo
Sensor-less Energy-free Sensing: The Future of Ubiquitous Context-Awareness for the IoT
Session-4:
AI/ML
Based Forecasting Techniques for Smart Power Systems

Chair: 
Amit K. Shukla, University of Vaasa
10.30 – 10.50 Model Order Reduction for Waste Heat Recovery: An Integrated Autoencoder-LSTM Neural Network Approach (Sina Toghranegar et al., KU Leuven)
10.50 – 11.10 Quantifying and Predicting Residential Building Flexibility Using Machine Learning Methods (Patrick Salter et al., Colorado School of Mines, USA, Speaker: Qiuhua Huang)
11.10 – 11.30 Anticipating Solar Photovoltaic Panel Output One Day in Advance with Gaussian Mixture Model (Rohan Kulkarni et al., KJCOEMR)
11.30 – 11.50 Performance Evaluation of Sequence Model Architectures for Load Forecasting: A Comparative Study (George Sideratos, National Technical University of
Athens)
11.50 – 12.10 Rotodynamics Multi Fault Diagnosis Through Time Domain Parameter Analysis with MLPA Comprehensive Study (Amanda Jorge et al., Federal University of Uberlândia, Speaker: Enio Costa Resende)
12.10 – 12.30 Closing speeches
12.30 Lunch at August

You can download submitted papers as PDF files by clicking here. (NOTE: The files are password protected and you need to enter the password you’ve received)