Touqeer Ahmed Jumani
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View article: Machine learning based fault classification for improved induction motor performance
Machine learning based fault classification for improved induction motor performance Open
This study explores the design of an effective fault classification algorithm for 3 phase induction motor, an integral unit in many industrial systems. It is found that traditional fault detection methods and deep learning approaches are b…
View article: Transient Stability-Oriented Nonlinear Power Control of PMSG-WT Using Power Transfer Matrix Modeling with DC Link Behavior
Transient Stability-Oriented Nonlinear Power Control of PMSG-WT Using Power Transfer Matrix Modeling with DC Link Behavior Open
In this paper, a nonlinear power transfer matrix model is presented for power control of Permanent Magnet Synchronous Generator (PMSG) wind turbines, incorporating the DC link dynamics to account for transient stability, thereby clarifying…
View article: Optimal Distributed Generation Mix to Enhance Distribution Network Performance: A Deterministic Approach
Optimal Distributed Generation Mix to Enhance Distribution Network Performance: A Deterministic Approach Open
Distribution systems’ vulnerability to power losses remains high, among other parts of the power system, due to the high currents and lower voltage ratio. Connecting distributed generation (DG) units can reduce power loss and improve the o…
View article: An Intelligent Long Short-Term Memory-Based Machine Learning Model for the Potential Assessment of Global Hydropower Capacity in Sustainable Energy Transition and Security
An Intelligent Long Short-Term Memory-Based Machine Learning Model for the Potential Assessment of Global Hydropower Capacity in Sustainable Energy Transition and Security Open
Climate change is a pressing global issue with severe consequences for the planet and human health. The Earth’s temperature has risen by 2 °C from 1901 to 2023, and this warming trend is expected to continue, causing potentially dangerous …
View article: Integration of Deep Learning and Machine Learning Techniques for Advancing the Detection of Plant Diseases
Integration of Deep Learning and Machine Learning Techniques for Advancing the Detection of Plant Diseases Open
This research proposed a new hybrid system for the detection of diseases in Pepper, Tomatoes, and Potatoes vegetable crops. Vegetable plant disease poses a significant threat to both the quality and quantity of crop yields, leading to enor…
View article: Blockchain-Based, Dynamic Attribute-Based Access Control for Smart Home Energy Systems
Blockchain-Based, Dynamic Attribute-Based Access Control for Smart Home Energy Systems Open
The adoption of the Internet of Things (IoT) in smart household energy systems offers new opportunities for efficiency and automation, while also posing substantial security challenges. These systems utilize diverse standards and protocols…
View article: A new approach for improving dynamic fault ride through capability of gridctied based wind turbines
A new approach for improving dynamic fault ride through capability of gridctied based wind turbines Open
The Doubly-Fed Induction Generator (DFIG) is preferred for wind turbines (WTs) due to their variable speed capability, reinforcing energy capture efficiency. Despite its advantages, researchers continually face challenges in managing the D…
View article: Reinforcement Learning-Based Current Compensation for Brushless Doubly Fed Induction Generators Under Transient- and Low-Voltage Ride-Through Faults
Reinforcement Learning-Based Current Compensation for Brushless Doubly Fed Induction Generators Under Transient- and Low-Voltage Ride-Through Faults Open
Wind and solar energy are increasingly vital for meeting clean renewable energy needs, with Brushless Doubly Fed Induction Generators gaining popularity due to their cost efficiency and reliability. A key challenge in integrating wind ener…
View article: An Intelligent Frequency Control Scheme for Inverting Station in High Voltage Direct Current Transmission System
An Intelligent Frequency Control Scheme for Inverting Station in High Voltage Direct Current Transmission System Open
Power system stability is crucial for the reliable and efficient operation of electrical grids. One of the key factors affecting power system stability is the frequency of the alternating current (AC) system while connected with High Volta…
View article: An Intelligent SARIMAX-Based Machine Learning Framework for Long-Term Solar Irradiance Forecasting at Muscat, Oman
An Intelligent SARIMAX-Based Machine Learning Framework for Long-Term Solar Irradiance Forecasting at Muscat, Oman Open
The intermittent nature of renewable energy sources (RES) restricts their widespread applications and reliability. Nevertheless, with advancements in the field of artificial intelligence, we can predict the variations in parameters such as…
View article: Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation
Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation Open
The increasing global need for renewable energy sources, driven by environmental concerns and the limited availability of traditional energy, highlights the significance of solar energy. However, weather fluctuations challenge the efficien…
View article: Response score-based protein structure analysis for cancer prediction aided by the Internet of Things
Response score-based protein structure analysis for cancer prediction aided by the Internet of Things Open
Medical diagnosis through prediction and analysis is par excellence in integrating modern technologies such as the Internet of Things (IoT). With the aid of such technologies, clinical assessments are eased with protracted computing. Speci…
View article: Pothole detection for autonomous vehicles using deep learning: a robust and efficient solution
Pothole detection for autonomous vehicles using deep learning: a robust and efficient solution Open
Autonomous vehicles can transform the transportation sector by offering a safer and more effective means of travel. However, the success of self-driving cars depends on their ability to navigate complex road conditions, including the detec…
View article: Modeling of intelligent controllers for solar photovoltaic system under varying irradiation conditions
Modeling of intelligent controllers for solar photovoltaic system under varying irradiation conditions Open
The increasing demand for solar renewable energy resources, driven by the global energy crisis and the depletion of conventional energy sources, has underscored the importance of harnessing solar energy. Solar photovoltaic (PV) systems, ho…
View article: Techno-economic optimal planning of an industrial microgrid considering integrated energy resources
Techno-economic optimal planning of an industrial microgrid considering integrated energy resources Open
Microgrids have benefited energy systems by getting rid of the abundant use of traditional energy resources, replacing them with distributed generations (DGs). The use of DGs in microgrids not only provides clean and green energy but also …
View article: The role of techno-economic factors for net zero carbon emissions in Pakistan
The role of techno-economic factors for net zero carbon emissions in Pakistan Open
The Government of Pakistan has established clean energy transition goals in the national Alternative and Renewable Energy (ARE) Policy. The goal of this policy is to increase the 30% capacity of green energy in total energy mix by 2030. I…
View article: A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based A.C. Microgrid
A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based A.C. Microgrid Open
The increasing penetration of Distributed Generators (D.G.) into the existing power system has brought some real challenges regarding the transient response of electrical systems. The injection of D.G.s and abrupt load changes may cause ma…
View article: Towards Achieving 100% Renewable Energy Supply for Sustainable Climate Change in Pakistan
Towards Achieving 100% Renewable Energy Supply for Sustainable Climate Change in Pakistan Open
Fossil fuel-based energy systems are mostly used for supplying energy that creates negative impacts on the environment, so in this study, the development of a 100% renewable energy system is evaluated for Pakistan for sustainable climate c…
View article: Internal Model Control (IMC)-Based Active and Reactive Power Control of Brushless Double-Fed Induction Generator with Notch Filter
Internal Model Control (IMC)-Based Active and Reactive Power Control of Brushless Double-Fed Induction Generator with Notch Filter Open
The increase in demand for electricity and, in particular, green energy has put renewable energy systems at the focal point of energy policy worldwide. The higher reliability of brushless doubly fed induction generators (BDFIGs) makes them…
View article: Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System
Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System Open
The proportional integral derivative (PID) controller is one of the most robust and simplest configuration controllers used for industrial applications. However, its performance purely depends on the tuning of its proportional (KP), integr…
View article: Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm
Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm Open
A brushless double-fed induction generator (BDFIG) has shown tremendous success in wind turbines due to its robust brushless design, smooth operation, and variable speed characteristics. However, the research regarding controlling of machi…
View article: Distant temperature and humidity monitoring: prediction and measurement
Distant temperature and humidity monitoring: prediction and measurement Open
Sensing environmental measuring parameters has a pivotal role in our everyday lives. Most of our daily life activities depend upon environmental conditions. Accurate information about these parameters also helps in several industrial appli…
View article: Optimal design of Fractional order PID controller based Automatic voltage regulator system using gradient-based optimization algorithm
Optimal design of Fractional order PID controller based Automatic voltage regulator system using gradient-based optimization algorithm Open
Considering the superior control characteristics and increased tuning flexibility of the Fractional-Order Proportional Integral Derivative (FOPID) controller than the conventional PID regulator, this article attempts to explore its applica…
View article: Research on various PV arrays manufacturing data for power comparison and optimization through extremum seeking technique
Research on various PV arrays manufacturing data for power comparison and optimization through extremum seeking technique Open
The increasing environmental repercussions and depletion of nonrenewable energy resources have cautioned and enabled researchers to incorporate renewable energy systems. Amongst the renewable energy resources, the solar energy system has b…
View article: An Improved Electroporator With Continuous Liquid Flow and Double-Exponential Waveform for Liquid Food Pasteurization
An Improved Electroporator With Continuous Liquid Flow and Double-Exponential Waveform for Liquid Food Pasteurization Open
Pulsed electric field (PEF) pasteurisation keeps treated liquid food fresh and nutritious compared to traditional thermal pasteurisation. However, PEF adoption is still limited on an industrial scale due to a lack of practical systems. As …
View article: Detection of Non-Technical Losses in Power Utilities—A Comprehensive Systematic Review
Detection of Non-Technical Losses in Power Utilities—A Comprehensive Systematic Review Open
Electricity theft and fraud in energy consumption are two of the major issues for power distribution companies (PDCs) for many years. PDCs around the world are trying different methodologies for detecting electricity theft. The traditional…
View article: Computational Intelligence-Based Optimization Methods for Power Quality and Dynamic Response Enhancement of ac Microgrids
Computational Intelligence-Based Optimization Methods for Power Quality and Dynamic Response Enhancement of ac Microgrids Open
The penetration of distributed generators (DGs) in the existing power system has brought some real challenges regarding the power quality and dynamic response of the power systems. To overcome the above-mentioned issues, the researchers ar…
View article: An Efficient Boosted C5.0 Decision-Tree-Based Classification Approach for Detecting Non-Technical Losses in Power Utilities
An Efficient Boosted C5.0 Decision-Tree-Based Classification Approach for Detecting Non-Technical Losses in Power Utilities Open
Electricity fraud in billing are the primary concerns for Distribution System Operators (DSO). It is estimated that billions of dollars are wasted annually due to these illegal activities. DSOs around the world, especially in underdevelope…