Results 181 to 190 of about 254,480 (307)

A shared frailty semi-parametric markov renewal model for travel and activity time-use pattern analysis [PDF]

open access: yes
This study investigates the influence of observed explanatory factors and unobserved random effect (heterogeneity) on episode durations of travel-activity chain.
Charles Raux, Iragaël Joly, Tai-Yu Ma
core  

A Rapid Post‐Disaster Restoration Method for Networked Microgrids Based on Adaptive Quantum Particle Swarm Optimization

open access: yesEnergy Science &Engineering, EarlyView.
To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang   +3 more
wiley   +1 more source

Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting

open access: yesEnergy Science &Engineering, EarlyView.
ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che   +4 more
wiley   +1 more source

Decoding the neural dynamics of everyday prospective remembering: a hidden Markov model approach. [PDF]

open access: yesFront Hum Neurosci
Vicentin S   +6 more
europepmc   +1 more source

Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment

open access: yesExploration, EarlyView.
This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng   +11 more
wiley   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos   +4 more
wiley   +1 more source

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