A comprehensive review of microgrid energy management strategies considering electric vehicles, energy storage systems, and AI techniques
The relentlessly depleting fossil-fuel-based energy resources worldwide have forbidden an
imminent energy crisis that could severely impact the general population. This dire situation …
imminent energy crisis that could severely impact the general population. This dire situation …
[HTML][HTML] Designing an optimal microgrid control system using deep reinforcement learning: A systematic review
Microgrid systems play a pivotal role in the integration of renewable energy sources and
enhancing electrical grid resilience. Deep Reinforcement Learning (DRL), a subset of …
enhancing electrical grid resilience. Deep Reinforcement Learning (DRL), a subset of …
Robust control of DFIG-based WECS integrating an energy storage system with intelligent MPPT under a real wind profile
This research work addresses the challenge of controlling a wind energy conversion system
(WECS) connected to the grid, which incorporates a battery energy storage system and …
(WECS) connected to the grid, which incorporates a battery energy storage system and …
Analyzing optimal battery sizing in microgrids based on the feature selection and machine learning approaches
Microgrids are becoming popular nowadays because they provide clean, efficient, and
lowcost energy. Microgrids require bulk storage capacity to use the stored energy in times of …
lowcost energy. Microgrids require bulk storage capacity to use the stored energy in times of …
Integration of solar based charging station in power distribution network and charging scheduling of EVs
The rapid development of electric vehicles (EVs) such as Easy Bike, Auto-Rickshaw, and
Electric Bike is a major contributor to global energy concerns. Although electric vehicles are …
Electric Bike is a major contributor to global energy concerns. Although electric vehicles are …
Active switched-inductor network step-up DC–DC converter with wide range of voltage-gain at the lower range of duty cycles
In many emerging applications, a dc–dc converter with a wide range of voltage conversion is
necessary to equalize the output voltage level from various low voltage sources. To meet …
necessary to equalize the output voltage level from various low voltage sources. To meet …
Prospects of hybrid renewable energy-based power system: a case study, post analysis of Chipendeke Micro-Hydro, Zimbabwe
Fossil fuel-based energy sources are the major contributors to greenhouse gas (GHG)
emission and thus the use of renewable energy (RE) is becoming the best alternative to …
emission and thus the use of renewable energy (RE) is becoming the best alternative to …
Reliability evaluation and financial viability of an electricity power micro-grid system with the incorporation of renewable energy sources and energy storage: case …
The increase in the demand for a reliable electricity supply by the utilities and consumers
has necessitated the evaluation of the reliability of power systems. A reliable electricity …
has necessitated the evaluation of the reliability of power systems. A reliable electricity …
Harnessing machine learning to optimize renewable energy utilization in waste recycling
M Fernandez, A Faturahman… - International …, 2024 - journal.pandawan.id
This research explores the application of Machine Learning techniques in utilizing
renewable energy for the recycling process. As the world strives for sustainable solutions to …
renewable energy for the recycling process. As the world strives for sustainable solutions to …
Medium-duty delivery truck integrated bidirectional wireless power transfer system with grid and stationary energy storage system connectivity
Electric vehicles (EVs) can provide power to the grid or buildings similar to distributed
energy resources (DER) for energy balancing applications or optimizing the operation of the …
energy resources (DER) for energy balancing applications or optimizing the operation of the …