STAFF PROFILE
Dr. Nameer Al Khafaf
Position:
Research Fellow
College / Portfolio:
STEM College
School / Department:
STEM|School of Engineering
Email:
nameer.al.khafaf@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
- Al Khafaf, N.,Wang, J.,Jalili, M.,Sokolowski, P. (2023). A Deep Learning Approach for Detecting Distributed Generation in Residential Customers In: Sustainable Energy, Grids and Networks, 33, 1 - 27
- Al Khafaf, N.,Song, H.,McGrath, B.,Jalili, M. (2023). Identification of low voltage distribution transformer–customer connectivity based on unsupervised learning In: Energy Reports, 9, 72 - 79
- Ahmed, M.,Ganeshan, A.,Moradiamani, A.,Al Khafaf, N.,Nutkani, I.,Vahidnia, A.,Jalili, M.,Hasan, K.,Datta, M.,Razzaghi, R.,McGrath, B.,Meegahapola, L. (2022). Effects of Household Battery Systems on LV Residential Feeder Voltage Management In: IEEE Transactions on Power Delivery, 37, 5325 - 5336
- Radmanesh, M.,Asgharian Rezaei, A.,Al Khafaf, N.,Jalili, M. (2020). Topological Deep Network Embedding In: Proceedings of the 2nd International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2020), Fukuoka, Japan, 19 -21 February 2020
- Tennakoon, R.,Kulathilaka, S.,Giri, R.,Al Khafaf, N.,Meegahapola, L.,Jalili, M. (2020). Prediction of Customer Connectivity to Distribution Transformer via Application of Machine Learning Techniques to Smart-Meter Data In: Proceedings of the 30th Australasian Universities Power Engineering Conference (AUPEC 2020), Hobart, Australia, 29 November - 2 December 2020
- Al Khafaf, N.,Jalili, M.,Sokolowski, P. (2019). Application of deep learning long short-term memory in energy demand forecasting In: Proceedings of the 20th International Conference on Engineering Applications of Neural Networks (EANN 2019), Xersonisos, Crete, Greece, 24 - 26 May 2019