[HTML][HTML] A review of advancements in solar PV-powered refrigeration: Enhancing efficiency, sustainability, and operational optimization

G Saha, AKMAM Azad - Energy reports, 2024 - Elsevier
The combination of refrigeration systems and solar photovoltaic (PV) technology has
become a viable alternative to tackle the difficulties caused by electricity limitations …

Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sources

A R. Singh, RS Kumar, M Bajaj, CB Khadse… - Scientific Reports, 2024 - nature.com
The growing integration of renewable energy sources into grid-connected microgrids has
created new challenges in power generation forecasting and energy management. This …

Multi-objective energy management in a renewable and EV-integrated microgrid using an iterative map-based self-adaptive crystal structure algorithm

A Rajagopalan, K Nagarajan, M Bajaj… - Scientific Reports, 2024 - nature.com
The use of plug-in hybrid electric vehicles (PHEVs) provides a way to address energy and
environmental issues. Integrating a large number of PHEVs with advanced control and …

Chaotic self-adaptive sine cosine multi-objective optimization algorithm to solve microgrid optimal energy scheduling problems

N Karthik, A Rajagopalan, M Bajaj, P Medhi… - Scientific Reports, 2024 - nature.com
Researchers are increasingly focusing on renewable energy due to its high reliability,
energy independence, efficiency, and environmental benefits. This paper introduces a novel …

A Novel Electric Vehicle Battery Management System Using an Artificial Neural Network‐Based Adaptive Droop Control Theory

MZ Afzal, M Aurangzeb, S Iqbal… - … Journal of Energy …, 2023 - Wiley Online Library
The novelty of this research lies in the development of a new battery management system
(BMS) for electric vehicles, which utilizes an artificial neural network (ANN) and fuzzy logic …

Advanced efficient energy management strategy based on state machine control for multi-sources PV-PEMFC-batteries system

B Kanouni, AE Badoud, S Mekhilef, M Bajaj… - Scientific Reports, 2024 - nature.com
This article offers a PV-PEMFC-batteries energy management strategy (EMS) that aims to
meet the following goals: keep the DC link steady at the standard value, increase battery …

[HTML][HTML] Enhanced wombat optimization algorithm for multi-objective optimal power flow in renewable energy and electric vehicle integrated systems

K Nagarajan, A Rajagopalan, M Bajaj, V Raju… - Results in …, 2025 - Elsevier
In this study, the authors propose the Enhanced Wombat Optimization Algorithm (EWOA) as
a solution for the optimal power flow (OPF) issue that occurs in transmission networks. With …

Advanced microgrid optimization using price-elastic demand response and greedy rat swarm optimization for economic and environmental efficiency

AR Singh, B Dey, M Bajaj, S Kadiwala, RS Kumar… - Scientific Reports, 2025 - nature.com
In this paper, a comprehensive energy management framework for microgrids that
incorporates price-based demand response programs (DRPs) and leverages an advanced …

A bibliometric and visualized analysis of nanoparticles in musculoskeletal diseases (from 2013 to 2023)

S Cao, Y Wei, Z Yao, Y Yue, J Deng, H Xu… - Computers in Biology …, 2024 - Elsevier
As the pace of research on nanomedicine for musculoskeletal (MSK) diseases accelerates,
there remains a lack of comprehensive analysis regarding the development trajectory …

Development of an IoT-enabled cost-effective asthma patient monitoring system: integrating health and indoor environment data with statistical analysis and data …

A Chakraborty, RD Gupta, MZ Kabir, S Dhar - Internet of Things, 2023 - Elsevier
This research aims to develop a cost-effective IoT-based remote health monitoring system
tailored for asthma patients to provide real-time feedback and hence minimize the necessity …