Results 51 to 60 of about 5,085,988 (308)

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella   +5 more
wiley   +1 more source

Scalable reinforcement learning for large-scale coordination of electric vehicles using graph neural networks

open access: yesCommunications Engineering
As the adoption of electric vehicles (EVs) accelerates, addressing the challenges of large-scale, city-wide optimization becomes critical in ensuring efficient use of charging infrastructure and maintaining electrical grid stability.
Stavros Orfanoudakis   +4 more
doaj   +1 more source

Assessing Oscillatory Stability With Dominant Grid-Forming Power Systems for Active Power Imbalances

open access: yesIEEE Open Access Journal of Power and Energy
As the integration of renewable energy accelerates, ensuring power system stability becomes increasingly critical. This research utilized a Root Mean Square (RMS) synthetic model of the future 380 kV Dutch power system towards 2050 to analyze its ...
Sander Lid Skogen   +1 more
doaj   +1 more source

Selection of an IGCT for multilevel converters dedicated to high‐voltage direct current grid connection of offshore wind‐farms

open access: yesIET Power Electronics, 2021
Grid connection of remote offshore wind‐parks uses high‐voltage direct current technology and in order to reduce costs and losses and maximise profitability, semiconductor power losses must be minimised.
Davin Guedon   +5 more
doaj   +1 more source

Incremental power grid verification [PDF]

open access: yesProceedings of the 49th Annual Design Automation Conference, 2012
Verification of the on-die power grid is a key step in the design of complex high-performance integrated circuits. For the very large grids in modern designs, incremental verification is highly desirable, because it allows one to skip the verification of a certain section of the grid (internal nodes) and instead, verify only the rest of the grid ...
Abhishek, Farid N. Najm
openaire   +2 more sources

Reactive power management strategies in future smart grids

open access: yes, 2013
The reactive power management in distribution network with large penetration of distributed energy resources is an important task in future power systems.
Pedro Faria   +7 more
core   +1 more source

Reliability, Security and Privacy in Power Grids [PDF]

open access: yes, 2022
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.As we move from traditional power grids to smart grids, new threats both physical and digital arise.
Tassiulas, Leandros   +4 more
core   +1 more source

Complementing Engel Classification: Postoperative Scalp EEG as an Objective Indicator in SEEG‐Guided Radiofrequency Thermocoagulation—A Seizure‐Onset Pattern‐Based Stratified Analysis—

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) is a minimally invasive therapy for drug‐resistant focal epilepsy. However, the relationship between specific seizure‐onset patterns (SOPs), particularly low‐voltage fast activity (LVFA), and postoperative scalp EEG normalization remains inadequately ...
Yi‐qing Yang   +6 more
wiley   +1 more source

Harmonic‐Amplitude Modulation Strategy for PtP‐VSC‐HVDC Links Providing Frequency Support

open access: yesDigital Twins and Applications
This paper presents a communication‐free frequency support strategy for point‐to‐point voltage source converter high‐voltage direct‐current (PtP‐VSC‐HVDC) links.
Arcadio Perilla, Jose Luis Rueda Torres
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy