Fuad Un-Noor, Sanjeevikumar Padmanaban, Lucian Mihet‐Popa, M. Yousuf A. Mollah et al.
Electric vehicles (EV), including Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), Fuel Cell Electric Vehicle (FCEV), are becoming more commonplace in the transportation sector in recent times. As the present trend suggests, this mode of transpor...
Md. Kamrul Hasan, Md. Ashraful Alam, Dola Das, Eklas Hossain et al.
Diabetes, also known as chronic illness, is a group of metabolic diseases due to a high level of sugar in the blood over a long period. The risk factor and severity of diabetes can be reduced significantly if the precise early prediction is possible. The robust and accurate prediction of diabetes is...
Eklas Hossain, Imtiaj Khan, Fuad Un-Noor, Sarder Shazali Sikander et al.
This paper conducts a comprehensive study on the application of big data and machine learning in the electrical power grid introduced through the emergence of the next-generation power system-the smart grid (SG). Connectivity lies at the core of this new grid infrastructure, which is provided by the...
Shafiul Hasan Rafi, Nahid‐Al Masood, Shohana Rahman Deeba, Eklas Hossain
In this study, a new technique is proposed to forecast short-term electrical load. Load forecasting is an integral part of power system planning and operation. Precise forecasting of load is essential for unit commitment, capacity planning, network augmentation and demand side management. Load forec...
Abdullah Al Mamun, Md. Sohel, Naeem Mohammad, Md Samiul Haque Sunny et al.
Load forecasting is a pivotal part of the power utility companies. To provide load-shedding free and uninterrupted power to the consumer, decision-makers in the utility sector must forecast the future demand for electricity with a minimum error percentage. Load prediction with less percentage of err...
Eklas Hossain, Mehmet Rıda Tür, Sanjeevikumar Padmanaban, Selim Ay et al.
This paper discusses the power quality issues for distributed generation systems based on renewable energy sources, such as solar and wind energy. A thorough discussion about the power quality issues is conducted here. This paper starts with the power quality issues, followed by discussions of basic...
Eklas Hossain, Darren Murtaugh, Jaisen Mody, Hossain Mansur Resalat Faruque et al.
The number of used batteries is increasing in quantity as time passes by, and this amount is to expand drastically, as electric vehicles are getting increasingly popular. Proper disposal of the spent batteries has always been a concern, but it has also been discovered that these batteries often reta...
Eklas Hossain, Hossain Mansur Resalat Faruque, Md Samiul Haque Sunny, Naeem Mohammad et al.
Driven by global concerns about the climate and the environment, the world is opting for renewable energy sources (RESs), such as wind and solar. However, RESs suffer from the discredit of intermittency, for which energy storage systems (ESSs) are gaining popularity worldwide. Surplus energy obtaine...
Eklas Hossain, Shidhartho Roy, Naeem Mohammad, Nafiu Nawar et al.
The rise in power shutdowns triggered by severe weather due to deteriorating climate change has expedited the research in enhancing community resilience. Several researchers and policy-makers have contributed to the characterization and parameterization of energy resilience and reliability in partic...
Fuad Un-Noor, Sanjeevikumar Padmanaban, Lucian Mihet‐Popa, Mohammad Nurunnabi Mollah et al.
Electric vehicles (EV) are getting more commonplace in the transportation sector in recent times. As the present trend suggests, this mode of transport is likely to replace the internal combustion engine (ICE) vehicles in near future. Each of the main EV components has a number of technologies that ...
Md Nurunnabi, Naruttam Kumar Roy, Eklas Hossain, H. R. Pota
This paper presents a feasibility and sensitivity analysis of renewable energy-based off-grid and grid-connected microgrids by investigating the potentials of wind and solar energy at different areas, namely, Kuakata, Sitakunda, Magnama, Dinajpur and Rangpur in Bangladesh - a country that experience...
Tuhibur Rahman, Ahmed Al Mansur, Molla Shahadat Hossain Lipu, Md. Siddikur Rahman et al.
The degradation of solar photovoltaic (PV) modules is caused by a number of factors that have an impact on their effectiveness, performance, and lifetime. One of the reasons contributing to the decline in solar PV performance is the aging issue. This study comprehensively examines the effects and di...
Shuvangkar Shuvo, Eklas Hossain, Tanveerul Islam, Abir Akib et al.
Inverters are an essential part in many applications including photovoltaic generation. With the increasing penetration of renewable energy sources, the drive for efficient inverters is gaining more and more momentum. In this paper, output power quality, power loss, implementation complexity, cost, ...
Md. Akhtaruzzaman, Mohammad Kamrul Hasan, S. Rayhan Kabir, Siti Norul Huda Sheikh Abdullah et al.
Load forecasting is a vital part of smart grids for predicting the required electrical power using artificial intelligence (AI). Deep learning is broadly used for load forecasting in the smart grid using the artificial neural network (ANN). Generally, computing the deep learning in the smart grid re...
Sanzana Tabassum, Tanvin Rahman, Ashraf Ul Islam, Sumayya Rahman et al.
The ambitious target of net-zero emission by 2050 has been aggressively driving the renewable energy sector in many countries. Leading the race of renewable energy sources is solar energy, the fastest growing energy source at present. The solar industry has witnessed more growth in the last decade t...