Mohit Bajaj
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View article: A nonlinear observer-based control strategy for hybrid energy storage systems to improve voltage disturbance rejection in DC microgrids
A nonlinear observer-based control strategy for hybrid energy storage systems to improve voltage disturbance rejection in DC microgrids Open
This paper proposes an efficient nonlinear observer-based a simple and effective control approach for DC microgrids integrating hybrid energy storage systems (HESSs) composed of supercapacitors and batteries with photovoltaic (PV) generati…
View article: Adaptive hybrid MPPT strategy for PEM fuel cells using type 2 fuzzy logic tuned with lightning search and whale optimization
Adaptive hybrid MPPT strategy for PEM fuel cells using type 2 fuzzy logic tuned with lightning search and whale optimization Open
Proton exchange membrane fuel cells (PEMFCs) encounter critical efficiency constraints arising from their inherently nonlinear electrochemical and power characteristics under dynamically fluctuating environmental and load conditions, such …
View article: Designing a cascaded exponential PID controller via starfish optimizer for DC motor and liquid level systems
Designing a cascaded exponential PID controller via starfish optimizer for DC motor and liquid level systems Open
In this study, a novel cascaded exponential proportional-integral-derivative (exp-PID) controller tuned by the starfish optimization algorithm (SFOA) is proposed for enhancing the transient and steady-state performance of nonlinear dynamic…
View article: A resource-efficient machine learning framework for real-time non-intrusive load monitoring and performance optimization in solar-powered aviation systems
A resource-efficient machine learning framework for real-time non-intrusive load monitoring and performance optimization in solar-powered aviation systems Open
The integration of non-intrusive load monitoring (NILM) into solar-powered aviation systems presents a transformative approach for achieving sustainable, lightweight, and intelligent flight operations. However, the sector's stringent const…
View article: Flood Algorithm-Tuned PID-F Controller with a Modified Objective Function for Robust and Noise-resilient Speed Control of Nonlinear SparkIgnition Engines
Flood Algorithm-Tuned PID-F Controller with a Modified Objective Function for Robust and Noise-resilient Speed Control of Nonlinear SparkIgnition Engines Open
This study presents a novel control strategy for the regulation of engine speed in nonlinear four-cylinder spark ignition (SI) engines by integrating a proportional-integral-derivative controller with a filter (PID-F) tuned using the flood…
View article: Nonlinear 2-DOF PID controller optimized by artificial lemming algorithm for robust engine speed regulation in spark-ignition systems
Nonlinear 2-DOF PID controller optimized by artificial lemming algorithm for robust engine speed regulation in spark-ignition systems Open
Achieving precise and stable engine speed regulation in spark-ignition (SI) systems remains a challenging task because of the inherent nonlinearities, time-varying characteristics, and external disturbances of internal combustion engines (…
View article: Optimized rule-based energy management for AC/DC hybrid microgrids using price-based demand response
Optimized rule-based energy management for AC/DC hybrid microgrids using price-based demand response Open
The increasing integration of renewable energy sources (RESs) and battery energy storage systems (BESSs) into hybrid AC/DC microgrids offers opportunities for cost reduction and flexibility but poses challenges in control. This paper propo…
View article: Artificial intelligence-driven dynamic optimization for predictive maintenance and cybersecurity in smart power distribution networks
Artificial intelligence-driven dynamic optimization for predictive maintenance and cybersecurity in smart power distribution networks Open
The complexity of power distribution networks is rising, with smart technologies needed for efficient cybersecurity maintenance and risk management. Securing the scalability of predictive models across different grid configurations, managi…
View article: Concurrent extreme learning-based demand response optimizer for blockchain-enabled peer-to-peer energy trading in residential microgrids
Concurrent extreme learning-based demand response optimizer for blockchain-enabled peer-to-peer energy trading in residential microgrids Open
Residential microgrids (MGs) increasingly rely on decentralized energy sources and peer-to-peer energy trading mechanisms to maintain uninterrupted power distribution. However, ensuring concurrency between dynamic energy demands and supply…
View article: Enhanced photovoltaic output prediction through attention-aware transfer learning and image denoising
Enhanced photovoltaic output prediction through attention-aware transfer learning and image denoising Open
The purpose of this study is to develop a comprehensive framework that highly enhances the accuracy of photovoltaic (PV) output prediction using deep machine learning. As our approach, the denoising images with Generative Adversarial Netwo…
View article: Voltage Stability Enhancement in North West Ethiopia’s Power Grid Using Contingency Analysis and PSO-Based Load Shedding
Voltage Stability Enhancement in North West Ethiopia’s Power Grid Using Contingency Analysis and PSO-Based Load Shedding Open
This study presents an integrated methodology to enhance voltage stability and operational security in the North West Ethiopian power grid by addressing system vulnerabilities and optimizing load-shedding strategies. A hybrid simulation-op…
View article: A blockchain-enabled multi-agent deep reinforcement learning framework for real-time demand response in renewable energy grids
A blockchain-enabled multi-agent deep reinforcement learning framework for real-time demand response in renewable energy grids Open
The increasing integration of renewable energy into smart grids introduces challenges of demand-supply imbalance, peak load stress, and cyber-physical vulnerabilities. Existing demand response (DR) frameworks often lack scalability, privac…
View article: Integrated optimization of solar DG and DSTATCOM placement for enhanced EVCS-Driven Power Distribution Performance
Integrated optimization of solar DG and DSTATCOM placement for enhanced EVCS-Driven Power Distribution Performance Open
The rapid increase in electric vehicle adoption, driven by their low maintenance, superior performance, and environmental benefits, has significantly elevated the demand on power distribution networks (PDNs). The integration of electric ve…
View article: A critical review on alternative fuels for road transportation: Pollution mitigation, environment and economic perspective
A critical review on alternative fuels for road transportation: Pollution mitigation, environment and economic perspective Open
Electric, hydrogen, methanol, and biofuel cars are becoming popular for reducing road transport emissions. In limited operational contexts, these technologies are commonly called clean or zero-emission, but resource availability, lifetime …
View article: Integrated techno-economic optimization and metaheuristic benchmarking of grid-connected hybrid renewable energy systems using real-world load and climate data
Integrated techno-economic optimization and metaheuristic benchmarking of grid-connected hybrid renewable energy systems using real-world load and climate data Open
This study proposes an integrated optimization framework for the techno-economic sizing and performance evaluation of a grid-connected hybrid renewable energy system (HRES) comprising photovoltaic (PV) panels, wind turbines (WT), battery s…
View article: High-performance fault diagnosis of smart grid insulators using YOLOv11-based instance segmentation for real-time energy infrastructure monitoring
High-performance fault diagnosis of smart grid insulators using YOLOv11-based instance segmentation for real-time energy infrastructure monitoring Open
Ensuring the reliability and stability of smart grids heavily depends on the condition of insulators and their structural bindings. Faults such as cracks, contamination, and binding failures can lead to severe consequences, including power…
View article: Accurate state of charge estimation for INR18650 (NMC) lithium-ion cells using a validated 1RC equivalent circuit model for BMS applications
Accurate state of charge estimation for INR18650 (NMC) lithium-ion cells using a validated 1RC equivalent circuit model for BMS applications Open
With increased penetration of electric vehicle (EV) in conventional transportation it has become important for manufacturer to build faith of customers in their product, specially battery performance. Accurate state of charge (SOC) measure…
View article: Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring
Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring Open
Accurate prediction of solar irradiance is vital for optimizing the energy output and operational efficiency of grid-connected photovoltaic (PV) systems, especially under fluctuating environmental conditions. Conventional tools such as pyr…
View article: Correction: Kumar et al. A Novel Decentralized Blockchain Architecture for the Preservation of Privacy and Data Security Against Cyberattacks in Healthcare. Sensors 2022, 22, 5921
Correction: Kumar et al. A Novel Decentralized Blockchain Architecture for the Preservation of Privacy and Data Security Against Cyberattacks in Healthcare. Sensors 2022, 22, 5921 Open
In the published publication [...]
View article: Advanced long short-term memory-based forecasting of electricity imbalances in the Ukrainian power system: Enhancing accuracy and stability with comparative model analysis
Advanced long short-term memory-based forecasting of electricity imbalances in the Ukrainian power system: Enhancing accuracy and stability with comparative model analysis Open
Accurate forecasting of electricity imbalances is critical for maintaining power system stability and improving market efficiency, particularly in systems with high renewable energy penetration. This study proposes an advanced short-term f…
View article: Comparative techno-economic analysis of grid-connected solar PV-battery and PV-fuel cell systems for educational institutions sustainable academic laboratories
Comparative techno-economic analysis of grid-connected solar PV-battery and PV-fuel cell systems for educational institutions sustainable academic laboratories Open
Due to the declining supply of fossil fuels, redesigning electricity networks to integrate renewable energy is essential. This project focuses on providing reliable power to the electrical and electronics laboratory at Buea University, Cam…