A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources. [PDF]
Pandey AK +4 more
europepmc +1 more source
Optimal Operation of the Hybrid Electricity Generation System Using Multiverse Optimization Algorithm. [PDF]
Sulaiman M +4 more
europepmc +1 more source
Objective The aim of this study was to test the hypothesis that multijoint osteoarthritis would modify the relation between time and frailty progression, in which more affected joints would lead to larger declines over six years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell +2 more
wiley +1 more source
Optimal operation of distributed generation and storage systems in microgrids under real-time pricing using biogeography-based optimization algorithm. [PDF]
Ahmed EM +6 more
europepmc +1 more source
OBJECTIVE Hospitalization, particularly for surgery, represents a period of heightened stress. We evaluated how frailty attenuates the association of rheumatoid arthritis (RA) with negative health outcomes after elective non‐cardiac surgery. METHODS We conducted a cross‐sectional study using the National Inpatient Sample (2018 to 2020), including ...
Ali Yazdanyar +5 more
wiley +1 more source
Multi-objective stochastic model optimal operation of smart microgrids coalition with penetration renewable energy resources with demand responses. [PDF]
Abdolahzadeh A +3 more
europepmc +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Optimal operation of energy-intensive load considering electricity carbon market. [PDF]
Zhou B +6 more
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
Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning. [PDF]
Angloher G +61 more
europepmc +1 more source

