Výsledky vyhledávání - "Shoaib Munawar"

Akademický článek

Multilevel Inverters Design, Topologies, and Applications: Research Issues, Current, and Future Directions

Autor: Shoaib Munawar, Muhammad Sajid Iqbal, Muhammad Adnan, Muhammad Ali Akbar, Amine Bermak

Publikováno v: IEEE Access, Vol 12, Pp 149320-149350 (2024)

Multilevel inverters (MLIs) have remained a promising contribution to research in the modern era, especially in the area of energy conversion. Their popularity, nominal and optimal operations have merged them into low, medium, and high-power applicat

Externí odkaz: https://doaj.org/article/2b4e553411e445e68492896734415ccd

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Akademický článek

Novel FDIs-based data manipulation and its detection in smart meters’ electricity theft scenarios

Autor: Shoaib Munawar, Zeshan Aslam Khan, Naveed Ishtiaq Chaudhary, Nadeem Javaid, Muhammad Asif Zahoor Raja, Ahmad H. Milyani, Abdullah Ahmed Azhari

Publikováno v: Frontiers in Energy Research, Vol 10 (2022)

Non-technical loss is a serious issue around the globe. Consumers manipulate their smart meter (SM) data to under-report their readings for financial benefit. Various manipulation techniques are used. This paper highlights novel false data injection

Externí odkaz: https://doaj.org/article/bb41ff37e0b049e7ad1e33e3223762a4

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Akademický článek

Electricity Theft Detection in Smart Grids Using a Hybrid BiGRU–BiLSTM Model with Feature Engineering-Based Preprocessing

Autor: Shoaib Munawar, Nadeem Javaid, Zeshan Aslam Khan, Naveed Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja, Ahmad H. Milyani, Abdullah Ahmed Azhari

Publikováno v: Sensors, Vol 22, Iss 20, p 7818 (2022)

In this paper, a defused decision boundary which renders misclassification issues due to the presence of cross-pairs is investigated. Cross-pairs retain cumulative attributes of both classes and misguide the classifier due to the defused data samples

Externí odkaz: https://doaj.org/article/4c1e5f94431b4bc7a6fe5f92970987b2

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Towards Energy Efficient Smart Grids: Data Augmentation Through BiWGAN, Feature Extraction and Classification Using Hybrid 2DCNN and BiLSTM

Autor: Muhammad Asif, Nadeem Javaid, Ashraf Ullah, Benish Kabir, Shoaib Munawar, Pamir

Publikováno v: Innovative Mobile and Internet Services in Ubiquitous Computing ISBN: 9783030797270
IMIS

In this paper, a novel hybrid deep learning approach is proposed to detect the nontechnical losses (NTLs) that occur in smart grids due to illegal use of electricity, faulty meters, meter malfunctioning, unpaid bills, etc. The proposed approach is ba

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e69d653e732641f95060deb40fb20e8
https://doi.org/10.1007/978-3-030-79728-7_12

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Alexnet-Adaboost-ABC Based Hybrid Neural Network for Electricity Theft Detection in Smart Grids

Autor: Ashraf Ullah, Adil Khan, Pamir, Muhammad Asif, Nadeem Javaid, Benish Kabir, Shoaib Munawar

Publikováno v: Complex, Intelligent and Software Intensive Systems ISBN: 9783030797249
CISIS

In this paper, a hybrid deep learning model is presented to detect electricity theft in the power grids, which happens due to the Non-Technical Losses (NTLs). The NTLs emerge due to meter malfunctioning, meter bypassing, meter tampering, etc. The mai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e9b477ac3e8b964647065631f58bfa55
https://doi.org/10.1007/978-3-030-79725-6_24

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Electricity Theft Detection in Smart Meters Using a Hybrid Bi-directional GRU Bi-directional LSTM Model

Autor: Pamir, Muhammad Asif, Ashraf Ullah, Shoaib Munawar, Nadeem Javaid, Beenish Kabir

Publikováno v: Complex, Intelligent and Software Intensive Systems ISBN: 9783030797249
CISIS

In this paper, a problem of misclassification due to cross pairs across a decision boundary is investigated. A cross pair is a junction of the two opposite class samples. These cross pairs are identified using Tomek links technique. The majority clas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::64953dc8fa2f1026af36affb016a1442
https://doi.org/10.1007/978-3-030-79725-6_29

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Synthetic Theft Attacks Implementation for Data Balancing and a Gated Recurrent Unit Based Electricity Theft Detection in Smart Grids

Autor: Ashraf Ullah, Shoaib Munawar, Pamir, Nadeem Javaid, Muhammad Asif, Benish Kabir

Publikováno v: Complex, Intelligent and Software Intensive Systems ISBN: 9783030797249
CISIS

In this paper, we present a novel approach for the electricity theft detection (ETD). It comprises of two modules: (1) implementations of the six theft attacks for dealing with the data imbalanced issue and (2) a gated recurrent unit (GRU) to tackle

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1a5bd2299233ad06bc8b189cbc0b868
https://doi.org/10.1007/978-3-030-79725-6_39

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Protection of Microgrid by Using Adaptive Relaying Scheme

Autor: Shoaib Munawar, Arbab, Muhammad Naeem, Khan, Sana Ullah

Publikováno v: International Journal of Engineering Works
International Journal of Engineering Works, Kambohwell Publisher Enterprises, 2017, 4 (9), pp.160-165

International audience; Recently, different ideas are developed and implemented towards the interest of getting more effective low carbon energy sources and Microgrids. A microgrid has two modes of operations, Grid connected mode of operation and sta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::548a5c10a10eda08fd8ee3fa4773015b
https://hal.archives-ouvertes.fr/hal-01598984

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