Artificial intelligence-based methods for renewable power system operation

Y Li, Y Ding, S He, F Hu, J Duan, G Wen… - Nature Reviews …, 2024 - nature.com
Carbon neutrality goals are driving the increased use of renewable energy (RE). Large-
scale use of RE requires accurate energy generation forecasts; optimized power dispatch …

Integration of renewable energy and electric vehicles in power systems: a review

NM Manousakis, PS Karagiannopoulos, GJ Tsekouras… - Processes, 2023 - mdpi.com
Electric vehicles (EVs) represent a promising green technology for mitigating environmental
impacts. However, their widespread adoption has significant implications for management …

Uncertainty compensation with coordinated control of EVs and DER systems in smart grids

MA Nasab, M Zand, AA Dashtaki, MA Nasab… - Solar Energy, 2023 - Elsevier
The exploitation of wind farms and solar cells have a special place due to their ability to
produce more, more general acceptability, and more affordable. The only challenge facing …

Aging mitigation for battery energy storage system in electric vehicles

S Li, P Zhao, C Gu, J Li, D Huo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Battery energy storage systems (BESS) have been extensively investigated to improve the
efficiency, economy, and stability of modern power systems and electric vehicles (EVs) …

Wireless chargers for electric vehicle: A systematic review on converter topologies, environmental assessment, and review policy

P Vishnuram, SP, VK, B Nastasi - Energies, 2023 - mdpi.com
The delivery of electricity employing an electromagnetic field that extends across an
intervening region is called a wireless power transfer (WPT). This approach paves the way …

Optimizing the Capacity of Extreme Learning Machines for Biomedical Informatics Applications

J Logeshwaran, R Bhardwaj… - 2023 International …, 2023 - ieeexplore.ieee.org
the paper discusses a way of growing the capability of severe deep learning machines
(ELM) for biomedical informatics programs. This technique involves varying the dimensions …

Edge computing for vehicle battery management: Cloud-based online state estimation

S Li, H He, Z Wei, P Zhao - Journal of Energy Storage, 2022 - Elsevier
The adoption of electric vehicles (EVs), including battery EVs and hybrid EVs, makes it
possible to reduce fossil fuel consumption and greenhouse gas emission. However, an …

A reliable evaluation metric for electrical load forecasts in V2G scheduling considering statistical features of EV charging

J Zhong, X Lei, Z Shao, L Jian - IEEE Transactions on Smart …, 2024 - ieeexplore.ieee.org
An accurate electrical load forecast is essential for the effective implementation of vehicle-to-
grid (V2G) technology to achieve optimal electric vehicle (EV) charging decisions …

[HTML][HTML] Optimizing microgrid operation: Integration of emerging technologies and artificial intelligence for energy efficiency

P Arévalo, D Ochoa-Correa, E Villa-Ávila - Electronics, 2024 - mdpi.com
Microgrids have emerged as a key element in the transition towards sustainable and
resilient energy systems by integrating renewable sources and enabling decentralized …

Quantum fuzzy decision-making for analyzing the service progress life cycle of renewable energy innovation investments

G Kou, D Pamucar, H Dinçer, S Yüksel - Applied Soft Computing, 2024 - Elsevier
Innovative and effective solutions can be produced by using advanced technologies to
increase renewable energy innovation investments. However, many actions taken to …