Results 151 to 160 of about 2,563,822 (300)
Uncertainty aware resilience enhancement of energy hub integrated distribution networks under heterogeneous disturbance events. [PDF]
Emaratkar S, Moradlou M, Nazarian P.
europepmc +1 more source
Estimation of the available deployable flexibility and its exploitation and dispatch features on each combination of load and demand response service based on modelling physicsdriven or datadriven ...
openaire +1 more source
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
Facilitating megacity electricity decarbonization via grid-interactive demand-side resource management. [PDF]
Li K +10 more
europepmc +1 more source
Positive Affect is Associated with Better Physical Function in Early Rheumatoid Arthritis
Objective This study examined the association between positive affect and physical function in individuals with early rheumatoid arthritis (RA). Methods We analyzed baseline data from 129 adults with early RA (persistent joint symptoms for ≤ 24 months) and active disease enrolled in the Central Pain in RA 2 (CPIRA‐2) study.
Burcu Aydemir +9 more
wiley +1 more source
THE FORMAL LOGIC OF TESTING STRUCTURAL CHANGE IN MEAT DEMAND: A METHODOLOGICAL ANALYSIS [PDF]
In the past two decades, the profession has expended valuable resources testing structural change in meat demand with mixed results. Overlooked to date is a fundamental methodological problem that transcends all of the methods of testing for structural ...
Davis, George C.
core
Flexible data centers reduce power system costs but can increase emissions. [PDF]
Senga JRL, Wang S, Knittel CR.
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
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
An advanced reliability reserve incentivizes flexibility investments while safeguarding the electricity market. [PDF]
Klaucke F +4 more
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

