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
- Song, H.,Al Khafaf, N.,Kamoona, A.,SAJJADI, S.,Moradi Amani, A.,Jalili, M.,Yu, X.,McTaggart, P. (2023). Multitasking recurrent neural network for photovoltaic power generation prediction In: Energy Reports, 9, 369 - 376
- Moradi Amani, A.,Sajjadi, S.,Al Khafaf, N.,Song, H.,Jalili, M.,Yu, X.,Meegahapola, L.,McTaggart, P. (2023). Technology balancing for reliable EV uptake in distribution grids: An Australian case study In: Renewable Energy, 206, 939 - 948
- Abdin, Z.,Al Khafaf, N.,McGrath, B.,Catchpole, K.,Gray, E. (2023). A review of renewable hydrogen hybrid energy systems towards a sustainable energy value chain In: Sustainable Energy & Fuels, 7, 2042 - 2062
- Ahmed, M.,Ganeshan, A.,Moradi Amani, 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
- Palaparambil Dinesh, L.,Al Khafaf, N.,McGrath, B. (2022). Application of Recurrent Neural Network Model for Short Term Photovoltaic Generation Forecasting In: 2022 32nd Australasian Universities Power Engineering Conference (AUPEC), Adelaide, Australia, 26/9/2022-28/9/2022
- 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
- International collaboration network on renewable- and EV-grid integration. Funded by: DCCEEW International Clean Innovation Researcher Networks Grant from (2023 to 2027)
1 PhD Current Supervisions