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All Journal International Journal of Applied Power Engineering (IJAPE) International Journal of Qualitative Research
Islam, Md. Rakibul
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Humanities Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Transformation and future trends of smart grid using machine and deep learning: a state-of-the-art review Fahim, Khairul Eahsun; Islam, Md. Rakibul; Shihab, Nahid Ahmed; Rahman Olvi, Maria; Labib Al Jonayed, Khondaker; Das, Adri Shankar
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i3.pp583-593

Abstract

A smart grid is a cutting-edge energy system designed to take over old-fashioned energy infrastructure in the twenty-first century. With comprehensive communication and computation capabilities, its primary objective is to increase energy distribution's dependability and efficiency while minimizing unfavorable effects. A number of approaches are needed for effective analysis and well-informed decision-making due to the massive infrastructure and integrated network of communications of the smart grid. In this study, we examine the architectural elements of the smart grid as well as the uses and methods using machine learning (ML) and deep learning (DL) with regard to the smart grid. We also clarify present research limitations and propose future directions for machine learning-driven data analytics. In order to improve the stability, reliability, security, efficiency, and responsiveness of the smart grid, this paper examines the implementation of several machine learning methodologies. This paper also covers some of the difficulties in putting machine learning solutions for smart grids into practice.
If Not Now Then When? The Reality of Women's Representation in Politics and Administration in Bangladesh: A Qualitative Study Sayem, Md. Abu; Rumi, Maruf Hasan; Islam, Md. Rakibul
International Journal of Qualitative Research Vol. 4 No. 3 (2025): March
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijqr.v4i3.1726

Abstract

The political landscape of Bangladesh presents a complex tapestry of progress and challenges regarding women's representation. This study aims to identify the status of women in the top political and administrative arena of Bangladesh and shed light on the factors that are responsible for such positions. The study employed an exploratory research design, utilizing a phenomenological research approach. The study followed the purposive sampling technique to collect 13 respondents, including members of parliament, cabinet members, local government representatives, and different political party members. The findings of the study depict that women's representation in the parliament and cabinet remains insignificant in making substantive decisions. Cultural and social structural barriers, muscle politics, and reluctance to adopt change by top political leadership are considered the main barriers in this regard. This research represents a distinctive addition to the interdisciplinary fields of gender studies and political science in Bangladesh, employing both primary and secondary data to arrive at a clear and definitive conclusion regarding the subject matter under investigation.
Co-Authors Das, Adri Shankar Fahim, Khairul Eahsun Labib Al Jonayed, Khondaker Rahman Olvi, Maria Rumi, Maruf Hasan Sayem, Md. Abu Shihab, Nahid Ahmed