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Mohammad Behdad Jamshidi, Sobhan Roshani, Jakub Talla, Ali Lalbakhsh, Zdenek Peroutka, Saeed Roshani, Fariborz Parandin, Zahra Malek, Fatemeh Daneshfar, Hamid Reza Niazkar, Saeedeh Lotfi, Asal Sabet, Mojgan Dehghani, Farimah Hadjilooei, Maryam S. Sharifi-Atashgah and Pedram Lalbakhsh
The spread of SARS-CoV-2 can be considered one of the most complicated patterns with a large number of uncertainties and nonlinearities. Therefore, analysis and prediction of the distribution of this virus are one of the most challenging problems, affect...
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Moslem Dehghani, Taher Niknam, Mohammad Ghiasi, Pierluigi Siano, Hassan Haes Alhelou and Amer Al-Hinai
Cyber-physical threats as false data injection attacks (FDIAs) in islanded smart microgrids (ISMGs) are typical accretion attacks, which need urgent consideration. In this regard, this paper proposes a novel cyber-attack detection model to detect FDIAs b...
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Mohammad Ghiasi, Taher Niknam, Moslem Dehghani, Pierluigi Siano, Hassan Haes Alhelou and Amer Al-Hinai
Today, in various leading power utilities in developing countries, achieving optimal operational energy management and planning, taking into account the costs reduction of generation, transmission and distribution of electricity, and also reducing the em...
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Mohammad Dehghani, Zeinab Montazeri, Ali Dehghani, Om P. Malik, Ruben Morales-Menendez, Gaurav Dhiman, Nima Nouri, Ali Ehsanifar, Josep M. Guerrero and Ricardo A. Ramirez-Mendoza
One of the most powerful tools for solving optimization problems is optimization algorithms (inspired by nature) based on populations. These algorithms provide a solution to a problem by randomly searching in the search space. The design?s central idea i...
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