In the field of structural health monitoring (SHM), the sensor measurement signals collected
from the structure are the foundation and key of the SHM system. However, the loss of …

Wind speed forecasting is gaining importance as the share of wind energy in electricity
systems increases. Numerous forecasting approaches have been used to predict wind …

Massive data that provide valuable information regarding the structural behavior are
continuously collected by the structural health monitoring (SHM) system. The quality of …

Machine learning (ML) techniques, which are a subset of artificial intelligence (AI), have
played a crucial role across a wide spectrum of disciplines, including engineering, over the …

An improved three-dimensional thermal model for a pouch battery is established, which
seamlessly integrates two thermal sub-models of the battery body and the current collecting …

Reconstructing lost dynamic responses is significant for structural condition assessment in
structural health monitoring (SHM). Current advanced methods usually employ deep …

As a renewable, clean and economical energy source, wind energy has rapidly infiltrated
into the modern power grid system. Wind speed forecasting, the crucial technology of wind …

Structural health monitoring (SHM) is a powerful tool for identifying the underlying dam
structural response anomalies by imitating the self-sensing ability of humans. Unfortunately …

Risk prediction of disasters is one of the most effective ways to prevent accidents. To solve
the problems in multi-factor complex disaster prediction, this paper proposes a new method …

In this paper, we present a comprehensive optimization framework that identifies renovation
plans to minimize half-life cycle carbon emissions, investment payback period, and indoor …