Results 191 to 200 of about 92,913 (234)

Nondestructive Quantification of Water Ingress in PV Modules via Spectroscopic and Chemical Analysis for Enhanced Quality Assurance and On‐Site Inspection

open access: yesProgress in Photovoltaics: Research and Applications, EarlyView.
This study presents a novel, nondestructive in situ method to quantify water ingress using near‐infrared absorption (NIRA) spectroscopy, calibrated with absolute water content via Karl–Fischer titration (KFT). The presented approach offers a powerful quality assurance and inspection tool for module manufacturers and solar developers, supporting ...
Daniel Schüsler   +8 more
wiley   +1 more source

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette   +3 more
wiley   +1 more source

Operational all‐sky assimilation of geostationary infrared water‐vapour channels in the regional ICON‐D2 model with an ensemble Kalman filter

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Though many studies have shown potential benefit in assimilating all‐sky infrared radiances from geostationary satellites, at numerical weather prediction centres it is still common practice to assimilate clear‐sky radiances. We present the operationalization of the all‐sky assimilation of the spinning enhanced visible and infrared imager (SEVIRI ...
Annika Schomburg   +5 more
wiley   +1 more source

Recursive Feasibility of Nonlinear Stochastic Model Predictive Control With Gaussian Process Dynamics

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf   +2 more
wiley   +1 more source

The role of identification in data‐driven policy iteration: A system theoretic study

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

A Longitudinal Study of Children's Hippocampal Development: Investigating Maternal Physical Activity, Depression, and Education. [PDF]

open access: yesDev Neurobiol
Aghamohammadi-Sereshki A   +9 more
europepmc   +1 more source

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