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Elme, Nafisa Sultana
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A Review on Employing Weather Forecasts for Microgrids to Predict Solar Energy Generation with IoT and Artificial Neural Networks Islam, Md Monirul; Akter, Mst. Tamanna; Tahrim, H M; Elme, Nafisa Sultana; Khan, Md. Yakub Ali
Control Systems and Optimization Letters Vol 2, No 2 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i2.108

Abstract

In this study, an artificial neural network (ANN) based approach is studied about the prediction of solar energy generation in a microgrid using weather forecasting. The ANN is trained using historical data of solar energy generation and weather forecast data. The input parameters for the ANN include weather variables such as temperature, humidity, wind speed, and solar irradiance. The output parameter is the solar energy generation in kilowatt-hour (kWh). The proposed approach is implemented and tested using real-world data from a microgrid. The results indicate that the ANN-based approach is effective in predicting the solar energy generation with high accuracy. The proposed approach can be used for optimizing the operation of microgrids and facilitating the integration of renewable energy sources into the power grid. This study proposes the use of an Artificial Neural Network (ANN) to predict the solar energy generation in a microgrid using weather forecast data. Weather forecasting has become more precise and dynamic with the integration of IoT data with advanced analytics and machine learning models. These models are quite accurate at predicting solar irradiance and analyzing patterns. The microgrid comprises of a photovoltaic (PV) system which generates solar energy and a battery storage system which stores and supplies the energy to the load. Accurate prediction of solar energy generation is crucial for optimizing management of the microgrid. The inputs to the ANN model include temperature, humidity, wind speed, cloud cover and solar irradiance, which are obtained from weather forecast data. The output of the model is the predicted solar energy generation. The performance of the ANN model is evaluated using various performance metrics such as Mean Absolute Error (MAE), Root Mean Squared Error (RMSE) and Coefficient of Determination (R²). This study presents a practical approach for predicting solar energy generation in a microgrid using weather forecast data, which can be used for efficient management of the microgrid.
Comparative Analysis of IoT and AI-Based Control Strategies for Community Micro-Grids Islam, Md Monirul; Akter, Mst. Tamanna; Elme, Nafisa Sultana; Khan, Md. Yakub Ali
Control Systems and Optimization Letters Vol 3, No 2 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v3i2.191

Abstract

The main objective of this paper is to review the centralized, decentralized, and hybrid control approaches based on key performance metrics such as efficiency, reliability, and scalability. By improving sustainability, dependability, and efficiency, the combination of artificial intelligence (AI) and the Internet of Things (IoT) in community micro-grids has completely changed energy management. The Internet of Things (IoT) and artificial intelligence (AI) have been used more and more in microgrid control to improve autonomy, dependability, and efficiency. Sensors, smart meters, distributed energy resources (DERs), and energy storage systems are just a few of the microgrid's components that can communicate and monitor in real time thanks to the Internet of Things.AI uses this data to make smart decisions on activities like fault detection, load forecasting, renewable energy prediction, and optimal power dispatch.  To optimize power distribution, load balancing, and fault detection in micro-grids, this article compares several control systems that make use of IoT and AI. The study looks at decentralized, hybrid, and centralized control strategies, emphasizing their benefits, drawbacks, and applicability in various operational scenarios. Important performance indicators are assessed, including cost-effectiveness, responsiveness, energy efficiency, and flexibility about renewable energy sources. The results contribute to the development of smart energy systems by shedding light on the best control schemes for enhancing microgrid performance.
Computation and Analysis of Highly Stable and Efficient Non-toxic Perovskite CsSnGeI3 Based Solar Cells to Enhance Efficiency Using SCAPS-1D Software Hossain, Md Momin; Khan, Md Yakub Ali; Halim, Md Abdul; Elme, Nafisa Sultana; Islam, Md Shoriful
Signal and Image Processing Letters Vol 5, No 2 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v5i2.66

Abstract

This paper examines the physical, optical, and electrical characteristics of cesium tin-germanium triiodide based single halide Perovskite absorption materials in order to provide the best photovoltaic application. In light of the diversification of the use of natural resources, perovskite solar cells are becoming more and more essential for capturing renewable energy. In this research work, a cesium tin–germanium triiodide (CsSnGeI3) perovskite-based solar cell (PSC) has been reported to achieve a high-power-conversion efficiency (PCE).  CsSnGeI3 perovskite-based solar cell has been proposed for the Pb and toxic-free (Al/FTO/ TiO2/CsSnGeI3/Mo) structure simulated in Solar Cell Capacitance Simulator (SCAPS-1D software. At first aluminum, fluorine-doped tin oxide, Titanium dioxide, cesium tin–germanium triiodide and   Molybdenum have been inserted into SCAPS and simulated using specific temperature. In this simulation, the electron transport layer (ETL) FTO, the buffer layer  TiO2, and the absorber layer  CsSnGeI3 were all used. Utilizing variations in thickness including absorber and buffer, defect density, operating temperature, back contact work function, series and shunt resistances, acceptor density, and donor density, the performance of the proposed photovoltaic devices was quantitatively assessed. Throughout the simulation, the absorber layer thickness was held constant at 1.6 ?m, the buffer layer at 0.05 ?m, and the electron transport layer at 0.5 ?m. A solar cell efficiency of 24.75%, an open-circuit voltage of 0.95 volts, a short-circuit current density of 30.61 mA/cm2, and a fill factor (FF) of 85.42% have all been recorded for the  CsSnGeI3 absorber layer. Our ground-breaking findings unequivocally show that CsSnGeI3-based PSC is a strong contender to quickly overtake other single-junction solar cell technologies as the most effective.
A Review on Stability Challenges and Probable Solution of Perovskite–silicon Tandem Solar Cells Hossain, Md Momin; Khan, Md Yakub Ali; Halim, Md. Abdul; Elme, Nafisa Sultana; Hussain, Md. Nayeem
Signal and Image Processing Letters Vol 5, No 1 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v5i1.58

Abstract

Perovskite-silicon tandem solar cells have shown great potential in increasing the efficiency of solar cells, with efficiencies reaching as high as 25%. However, the stability of these cells remains a major challenge that must be addressed before they can be commercialized. This review focuses on the stability challenges of perovskite-silicon tandem solar cells and possible solutions to address these challenges. The main stability issues include the instability of the perovskite layer, the degradation of the silicon layer, and the failure of the interfaces between the layers. One solution is to use more stable perovskite materials, such as methylammonium lead iodide (MAPbI3) or formamidinium lead iodide (FAPbI3), which have shown better stability than traditional perovskite materials. Another solution is to use passivating layers, such as titanium dioxide, to protect the perovskite layer from degradation. Another solution is to use silicon heterojunction (SHJ) solar cells, which have shown better stability than traditional silicon solar cells. In addition, the use of encapsulation techniques, such as using a barrier layer or a hermetic seal, can help to protect the tandem solar cell from environmental degradation. In order to improve the stability of perovskite-silicon tandem solar cells, it is important to continue research on the development of more stable perovskite materials, passivating layers, and encapsulation techniques. Additionally, further research is needed to understand the mechanisms of degradation and to develop methods for monitoring and mitigating the degradation of the tandem solar cells.
A Review on Nanotechnology and Its Impact with Challenges on Electrical Engineering Khan, Md Yakub Ali; Elme, Nafisa Sultana; Tahrim, H M; Raza, Kala
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.78

Abstract

Nanotechnology has revolutionized the field of electrical engineering, enabling the development of new materials, devices, and systems with unique properties and functionalities. This review article provides an overview of the impact of nanotechnology on electrical engineering, covering various areas such as analogue and digital circuits, power electronics, sensors, and energy harvesting. The article begins by discussing the basics of nanotechnology, Graphene-based Nanotechnology, nanoscience, Nano photonic and its potential impact on electrical engineering. It then focuses on the application of nanotechnology in various fields of electrical engineering, such as the development of high-performance transistors, nanoscale sensors, and efficient energy conversion systems. The article also discusses the challenges associated with the application of nanotechnology in electrical engineering, such as the need for high-precision fabrication   techniques, the   issue   of   reliability   and reproducibility, and the potential health and environmental concerns. Overall, the   review   article   highlights   the   immense   potential   of nanotechnology in electrical engineering and its impact on various fields of research and development. While challenges exist, continued research and development in nanotechnology promise to lead to significant advancements in electrical engineering, enabling the development of more efficient, and sustainable systems and devices.
Co-Authors Akter, Mst. Tamanna Halim, Md Abdul Hossain, Md Momin Hussain, Md. Nayeem ISLAM, MD MONIRUL Islam, Md Shoriful Khan, Md Yakub Ali Khan, Md. Yakub Ali Md. Abdul Halim, Md. Abdul Raza, Kala Tahrim, H M