A comprehensive review of AI-enhanced smart grid integration for hydrogen energy: Advances, challenges, and future prospects

M SaberiKamarposhti, H Kamyab, S Krishnan… - International Journal of …, 2024 - Elsevier
The convergence of hydrogen energy with artificial intelligence (AI) in smart infrastructure
has significant potential to revolutionise the worldwide energy sector. This article thoroughly …

[HTML][HTML] A Comprehensive Review on the Role of Artificial Intelligence in Power System Stability, Control, and Protection: Insights and Future Directions

I Alhamrouni, NH Abdul Kahar, M Salem, M Swadi… - Applied Sciences, 2024 - mdpi.com
This review comprehensively examines the burgeoning field of intelligent techniques to
enhance power systems' stability, control, and protection. As global energy demands …

Optimal Placement of Electric Vehicle Charging Stations in an Active Distribution Grid with Photovoltaic and Battery Energy Storage System Integration

S Deeum, T Charoenchan, N Janjamraj… - Energies, 2023 - mdpi.com
This article presents the optimal placement of electric vehicle (EV) charging stations in an
active integrated distribution grid with photovoltaic and battery energy storage systems …

[HTML][HTML] A unified theory of acceptance and use of technology and fuzzy artificial intelligence model for electric vehicle demand analysis

AF Aysan, S Yüksel, S Eti, H Dinçer, MS Akin… - Decision Analytics …, 2024 - Elsevier
This study aims to reveal consumers' intention to purchase Electric Vehicles (EVs) based on
the Unified Theory of Acceptance and Use of Technology (UTAUT) model. A hybrid fuzzy …

Optimization of Grid Energy Balance Using Vehicle-to-Grid Network System

C Armenta-Déu, L Demas - Energies, 2024 - mdpi.com
This paper proposes a methodological way to compensate for the imbalance between
energy generation and consumption using a battery block from electric vehicles as an …

[HTML][HTML] An inimitable Elman network based fire hawk controller and skill optimized power tracker with ultra gain converter for improving the performance of PV tied EV …

D Sungeetha, CMB MJ, J Giri, E Makki… - Case Studies in Thermal …, 2024 - Elsevier
Abstract The need for Electric Vehicles (EVs) has grown as a result of the issues brought on
by fossil fuels. To keep up with the rising demand for electricity, the power source is …

Zn-Doped MnO2 microflake pseudocapacitive cathode on Ni (OH) 2/Ni-Foam substrate as a promising charge storage material

H Abdullah, H Shuwanto, RT Ginting, KK Yadav… - Materials Science and …, 2024 - Elsevier
Zn-doped MnO 2 microflakes cathode material on Ni (OH) 2/Ni foam has been synthesized
and characterized as well as tested its electrochemical performances in 3 M KOH solution …

Optimization Challenges in Vehicle-to-Grid (V2G) Systems and Artificial Intelligence Solving Methods

M Escoto, A Guerrero, E Ghorbani, AA Juan - Applied Sciences, 2024 - mdpi.com
Vehicle-to-grid (V2G) systems play a key role in the integration of electric vehicles (EVs) into
smart grids by enabling bidirectional energy flows between EVs and the grid. Optimizing …

Integration of electric vehicle into smart grid: a meta heuristic algorithm for energy management between V2G and G2V

G Srihari, RSR Krishnam Naidu… - Frontiers in Energy …, 2024 - frontiersin.org
Recently, Electric Vehicles (EV) have been providing fast response and substantial progress
in the power generation model. Further, EVs are exploited as adaptable Energy Storage …

Fuzzy logic-based energy management in smart grids for renewable integration

H Singh, E Annapoorna - MATEC Web of Conferences, 2024 - matec-conferences.org
This study explores the creation and execution of energy management methods using fuzzy
logic in smart grids, with the goal of effectively incorporating renewable energy sources. The …