Results 291 to 300 of about 410,957 (367)

Optimization of Power System Flexibility Through AI‐Driven Dynamic Load Management and Renewable Integration

open access: yesBattery Energy, EarlyView.
This study presents an AI‐driven framework for power system flexibility, integrating renewable energy and dynamic load management. Using a transformer‐based model and IEEE 14‐bus simulations, it achieves a 44% reduction in power losses, enhanced voltage stability, and superior forecasting accuracy, demonstrating AI's potential for resilient and ...
Saad Hayat   +4 more
wiley   +1 more source

Experimental studies on multi‐scale data‐driven methods within the framework of structural health monitoring

open access: yesCivil Engineering Design, EarlyView.
Abstract The German Research Foundation has established the priority program SPP 100+. Its subject is monitoring bridge structures in civil engineering. The data‐driven methods cluster deals with the use of measurements and their special global and local analysis methods, which complement each other in an overall multi‐scale concept in order to realize
Maximilian Rohrer   +13 more
wiley   +1 more source

A Framework for the Development of Soft Sensors for Process Plants

open access: yesChemie Ingenieur Technik, EarlyView.
The framework presented is a guideline and is applied in software development to render the research, development, and integration of soft sensors into operational and technical processes more effective and efficient. It was developed on the basis of practical and industry‐related experience from process engineering projects.
Mathias Vorbröcker   +2 more
wiley   +1 more source

Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract In this article, we consider the imputation of missing responses in a longitudinal dataset via matrix completion. We propose a fixed‐effect, longitudinal, low‐rank model that incorporates both subject‐specific and time‐specific covariates. To solve the optimization problem, a two‐step optimization algorithm is proposed, which provides good ...
Zhaohan Sun, Yeying Zhu, Joel A. Dubin
wiley   +1 more source

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