[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 …
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
The growing integration of renewable energy sources into grid-connected microgrids has
created new challenges in power generation forecasting and energy management. This …
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 …
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
Researchers are increasingly focusing on renewable energy due to its high reliability,
energy independence, efficiency, and environmental benefits. This paper introduces a novel …
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
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 …
(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
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 …
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
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 …
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
In this paper, a comprehensive energy management framework for microgrids that
incorporates price-based demand response programs (DRPs) and leverages an advanced …
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)
As the pace of research on nanomedicine for musculoskeletal (MSK) diseases accelerates,
there remains a lack of comprehensive analysis regarding the development trajectory …
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 …
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 …
tailored for asthma patients to provide real-time feedback and hence minimize the necessity …