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Artificial intelligence-based methods for renewable power system operation
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 …
scale use of RE requires accurate energy generation forecasts; optimized power dispatch …
Integration of renewable energy and electric vehicles in power systems: a review
Electric vehicles (EVs) represent a promising green technology for mitigating environmental
impacts. However, their widespread adoption has significant implications for management …
impacts. However, their widespread adoption has significant implications for management …
Uncertainty compensation with coordinated control of EVs and DER systems in smart grids
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 …
produce more, more general acceptability, and more affordable. The only challenge facing …
Aging mitigation for battery energy storage system in electric vehicles
Battery energy storage systems (BESS) have been extensively investigated to improve the
efficiency, economy, and stability of modern power systems and electric vehicles (EVs) …
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
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 …
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 …
(ELM) for biomedical informatics programs. This technique involves varying the dimensions …
Edge computing for vehicle battery management: Cloud-based online state estimation
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 …
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
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 …
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
Microgrids have emerged as a key element in the transition towards sustainable and
resilient energy systems by integrating renewable sources and enabling decentralized …
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
Innovative and effective solutions can be produced by using advanced technologies to
increase renewable energy innovation investments. However, many actions taken to …
increase renewable energy innovation investments. However, many actions taken to …