Dr.Elham Mohamed

Eskandarnia, E., Al-Ammal, H. M., & Ksantini, R. (2022). An embedded deep-clustering-based load profiling framework. Sustainable Cities and Society, 78, 103618.
Eskandarnia, E., Al-Ammal, H., Ksantini, R., & Hammad, M. (2022). Deep learning techniques for smart meter data analytics: A review. SN Computer Science, 3(3), 243.
Eskandarnia, E. M., & Al-Ammal, H. M. (2022). A taxonomy of smart meter analytics: Forecasting, knowledge discovery, and power management. International Journal of Computing and Digital Systems, 11(1).

Eskandarnia, E., & AlHammad, M. (2020, September). Predication of future energy consumption using SARIMAX. In IET Conference Proceedings CP777 (Vol. 2020, No. 6, pp. 657-662). Stevenage, UK: The Institution of Engineering and Technology.
Eskandarnia, E. M., Kareem, S. A., & Al-Ammal, H. M. (2018, April). A review of smart meter load forecasting techniques: Scale and horizon. In IEEE conference.
Hesham, A. A., Elham, E., & Sameem, A. K. (2016). A review of smart meter load forecasting techniques. Scale and Horizon. In London. Srivastava AK, Pandey AS, Singh D," Short-term load forecasting Methods: A review," International conference on Emerging trends in Electronics & sustainable Energy systems.
Iskandarnia, E., Al-Amal, H., & Al-Madany, W. (2020, September). Load predication in different scale and horizon-a review. In 3rd Smart Cities Symposium (SCS 2020) (Vol. 2020, pp. 464-470). IET.
Eskandar, E. M., Alammal, H., & Almadany, W. (2020, September). What prophet says about electrical consumption-forecasting techniques for big temporal data. In 3rd Smart Cities Symposium (SCS 2020) (Vol. 2020, pp. 543-548). IET.
El Tahawy, M., & Eskandarnia, E. (2024, February). Discovery of Usage Pattern from E-Commerce Platform. In 2024 Arab ICT Conference (AICTC) (pp. 113-120). IEEE.

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