Results 81 to 90 of about 253,849 (264)

Short‐term electric power and energy balance optimization scheduling based on low‐carbon bilateral demand response mechanism from multiple perspectives

open access: yesIET Generation, Transmission & Distribution
Carbon emissions limit the output of traditional fuel‐fired generating units, significantly affecting the new power system scheduling mechanism. This paper proposes a short‐term electric power and energy balance optimization scheduling method with low ...
Juan Li, Yonggang Li, Huazhi Liu
doaj   +1 more source

A Multiobjective Strategy for Generation Expansion Planning to Enable Increased Penetration of Variable Renewable Energy Sources

open access: yesIEEE Access
This work explores the generation expansion planning (GEP) problem from a multiobjective perspective, estimating the maximum capacity of non-controllable variable renewable energy (VRE) sources to be installed, when investments in flexible technologies ...
Jonathan Munoz Tabora   +4 more
doaj   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

Longitudinal Changes in Adiposity After a Youth Sport‐Related Knee Injury: Informing Posttraumatic Osteoarthritis Prevention

open access: yesArthritis Care &Research, EarlyView.
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale   +6 more
wiley   +1 more source

The Development of Rheumatoid Arthritis–Specific Ambulatory Care–Sensitive Conditions: Results of a Consensus Process

open access: yesArthritis Care &Research, EarlyView.
Objective Ambulatory care–sensitive conditions (ACSCs) serve as indicators of access, quality, and performance of the health system. This study aimed to determine rheumatoid arthritis (RA)‐specific ACSCs for use in the evaluation of care system access and quality.
Kara Irwin   +7 more
wiley   +1 more source

Validation of Patient‐Reported Outcomes Measurement Information System® (PROMIS®) Pediatric Measures for Children with Chronic Nonbacterial Osteomyelitis

open access: yesArthritis Care &Research, Accepted Article.
Objectives To assess the validity of the Patient‐Reported Outcomes Measurement Information System® (PROMIS®) Pediatric measures in patients with chronic nonbacterial osteomyelitis (CNO). Methods Within the longitudinal patient registry of CNO, English‐speaking patients aged 8 years and older self‐reported PROMIS Pediatric measures of fatigue, pain ...
Mary M. Eckert   +43 more
wiley   +1 more source

Dynamic reactive power reserve assessment method for hybrid AC/DC networks based on a reduced equivalent model of an LCC‐HVDC converter process

open access: yesIET Renewable Power Generation
LCC‐HVDC technology has been widely applied. Commutation failure is a common disturbance in converter stations. In the absence of an adequate and rapid dynamic reactive power supply, the system is prone to trigger DC blocking.
Sidun Fang   +7 more
doaj   +1 more source

Automated Hand Flexor Tendon Thickness Measurement in Systemic Sclerosis

open access: yesArthritis Care &Research, Accepted Article.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasound and measured manually, a time‐consuming process prone to inter‐observer variability.
Mark Greveling   +4 more
wiley   +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   +2 more
wiley   +1 more source

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