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Found 8 papers, 2 papers with code
Exploring Large Language Models for Human Mobility Prediction under Public Events
Accurate human mobility prediction for public events is thus crucial for event planning as well as traffic or crowd management.
An Economic Model Predictive Control Approach for Load Mitigation on Multiple Tower Locations of Wind Turbines
In this paper, we develop an Economic Model Predictive Control (eMPC) framework to address such needs.
Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions
A variety of attention mechanisms have been studied to improve the performance of various computer vision tasks.
NAM: Normalization-based Attention Module
Recognizing less salient features is the key for model compression.
The Proportional Integral Notch and Coleman Blade Effective Wind Speed Estimators and Their Similarities
This letter introduces two novel BEWS estimator approaches: A Proportional Integral Notch (PIN) estimator based on individual blade load measurements, and a Coleman estimator targeting the estimation in the non-rotating frame.
The Immersion and Invariance Wind Speed Estimator Revisited and New Results
In this letter, we illustrate that the circle criterion can be used as an alternative method to prove the global convergence of the I\&I estimator.
Periodic Load Rejection for Floating Offshore Wind Turbines via Constrained Subspace Predictive Repetitive Control
Individual Pitch Control (IPC) is an effective control strategy to mitigate the blade loads on large-scale wind turbines.
Blade Effective Wind Speed Estimation: A Subspace Predictive Repetitive Estimator Approach
Modern wind turbine control algorithms typically utilize rotor effective wind speed measured from an anemometer on the turbine's nacelle.
