Multitasking recurrent neural network for photovoltaic power generation prediction von Song, Hui, Khafaf, Nameer Al, Kamoona, Ammar, Sajjadi, Samaneh Sadat, Amani, Ali Moradi, Jalili, Mahdi, Yu, Xinghuo, McTaggart, Peter

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A Novel Clustering Index to Find Optimal Clusters Size With Application to Segmentation of Energy Consumers von Al Khafaf, Nameer, Jalili, Mahdi, Sokolowski, Peter

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A review of renewable hydrogen hybrid energy systems towards a sustainable energy value chain von Abdin, Zainul, Al Khafaf, Nameer, McGrath, Brendan, Catchpole, Kylie, Gray, Evan

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A short term multistep forecasting model for photovoltaic generation using deep learning model von Dinesh, Lakshmi P., Khafaf, Nameer Al, McGrath, Brendan

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Identification of low voltage distribution transformer–customer connectivity based on unsupervised learning von Al Khafaf, Nameer, Song, Hui, McGrath, Brendan, Jalili, Mahdi

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Feasibility of hydrogen hybrid energy systems for sustainable on- and off-grid integration: An Australian REZs case study von Abdin, Zainul, Al Khafaf, Nameer, McGrath, Brendan

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Optimization of synchronizability in complex spatial networks von Al Khafaf, Nameer, Jalili, Mahdi

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Impact of battery storage on residential energy consumption: An Australian case study based on smart meter data von Al Khafaf, Nameer, Rezaei, Ahmad Asgharian, Moradi Amani, Ali, Jalili, Mahdi, McGrath, Brendan, Meegahapola, Lasantha, Vahidnia, Arash

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A deep learning approach for detecting distributed generation in residential customers von Al Khafaf, Nameer, Wang, Jia, Jalili, Mahdi, Sokolowski, Peter

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Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting von Nameer Al Khafaf, Jalili, Mahdi, Sokolowski, Peter

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Optimal Clustering of Energy Consumers based on Entropy of the Correlation Matrix between Clusters von Khafaf, Nameer Al, Jalili, Mahdi, Sokolowski, Peter

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Optimal Clustering of Energy Consumers based on Entropy of the Correlation Matrix between Clusters von Nameer Al Khafaf, Jalili, Mahdi, Sokolowski, Peter

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