Characterizing the evolution of wind speed and turbulence intensity in coastal wind turbine wakes using high-resolution lidars

Yu Shi

doi:10.1016/j.jweia.2026.106553

Strong averaging principle for generalized Caputo fractional stochastic neutral differential equations driven by multiplicative fractional Brownian motion

2025-09-18

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R

Ruomiao Huang

D

Danfeng Luo *

DOI：10.1016/j.chaos.2025.117179

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• Adopt two-parameter modulation (γ,ρ) and FBM to break the single memory mode limits. • Build a non-local long-correlation averaging framework sans traditional assumptions. • Reveal the regulation of ρ on the memory kernel and highlight ɛ’s significance.

Strong averaging principle for generalized Caputo fractional stochastic neutral differential equations driven by multiplicative fractional Brownian motion

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