@adelaide.edu.au
The University of Adelaide
Hassan Al-Saadi received the BSc & MSc in Electrical Power Engineering, then he received his PhD in Electrical & Electronics Engineering from The University of Adelaide, South Australia, Australia in Dec. 2018. After PhD, Hassan worked as a visiting researcher to further his research in conduct/analyze/synthesize/developing new methods and strategies for energy/cost optimization. I am now specialist in risk analysis using machine learning (classification, regression, clustering), power system analysis (power flow, redial power flow), applied mathematics (statistical sciences, probability and decision theory, operational analysis, optimization theory, numerical analysis, scientific computation), uncertainty analysis (probabilistic and possibilistic assessment), Modeling and Simulation, computational techniques in Science, computer graphics and visualization.
PhD in Electrical & Electronics Engineering from The University of Adelaide
Thesis by Publications titled "Probabilistic hosting capacity and risk analysis for distribution networks"
Electrical and Electronic Engineering
A community battery is a shared, medium-scale energy-storage system (typically 50 kWh – 5 MWh) that stores electricity—usually from local rooftop solar—for use by multiple households or a neighbourhood instead of a single customer.
Scopus Publications
Hassan Al‐Saadi, Rastko Zivanovic, and Said Al‐Sarawi
Wiley
Hassan Al-Saadi
Springer International Publishing
Hatim G. Abood, Hassan Al-Saadi, and Ghassan Abdullah Salman
IEEE
Hassan Al-Saadi, Said Al-Sarawi, Rastko Zivanovic, and Hatim G. Abood
IEEE
Hassan Al-Saadi, Rastko Zivanovic, and Said F. Al-Sarawi
IEEE
Hassan Al-Saadi, Rastko Zivanovic, and Said Al-Sarawi
EDP Sciences
Hatim G. Abood, Victor Sreeram, Hassan Al-Saadi, and Yateendra Mishra
IEEE
Hassan Al-Saadi, Rastko Zivanovic, and Said F. Al-Sarawi
Institute of Electrical and Electronics Engineers (IEEE)