Ali Forootani
Affiliations
Ph.D Student
Schulich School of Engineering, Department of Electrical and Software Engineering
Research Intern at ENMAX
Schulich School of Engineering, Department of Electrical and Software Engineering
Contact information
Location
Background
Credentials
Energy management,
Forecasting,
Teaching ,
Educational Background
MSc Electrical and Computer Engineering , Shiraz University, 2022
BSc Electrical and Computer Engineering , Shiraz University, 2019
Research
Areas of Research
My research interest comprises energy management, load forecasting, electric vehicle smart charging, and smart grids.
Projects
Optimal switch placement for Shiraz distribution company
Awards
- Faculty of Graduate Studies Doctoral Scholarship, Open Scholarship Competition, Graduate Award Office of the University of Calgary. 2024
- Research Impact Excellence Award: This award recognizes outstanding publications for the Schulich academic research community., University of Calgary. 2024
- Teaching a Course on Machine Learning with Python, IEEE. 2021
- Teaching a Course on Deep Learning with Python, IEEE. 2022
- Alberta Innovates Graduate Student Scholarship Competition, Alberta Innovates. 2024
Publications
- An Advanced Satisfaction-Based Home Energy Management System Using Deep Reinforcement Learning. Ali Forootani, Mohammad Rastegar, Mohamad Jooshaki. IEEE Access. 47896-47905. (2022)
- Short-Term Individual Residential Load Forecasting Using an Enhanced Machine Learning-based Approach based on a Feature Engineering Framework: A Comparative Study with Deep Learning Methods. Ali Forootani, Mohammad Rastegar, Ashkan Sami. Electric Power System Research Journal. (2022)
- Home Energy Management Using Multi-Agent Reinforcement Learning. Ali Forootani and Mohammad Rastegar. Energy Engineering and Management. (2023)
- Transfer Learning-based Framework Enhanced by Deep Generative Model for Cold-Start Forecasting of Residential EV Charging Behavior. Ali Forootani; Mohammad Rastegar; Hamidreza Zareipour. IEEE Transactions on Intelligent Vehicles. 1-9. (2023)
- Power system flexibility analysis using net-load forecasting based on deep learning considering distributed energy sources and electric vehicles. Ehsan Toghiany Rizi, Mohammad Rastegar, Ali Forootani. Computers and Electrical Engineering. (2024)
In the News
More Information
As an Artificial Intelligence enthusiast, I work as a Machine Learning and Deep Learning instructor.
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