Machine learning driven many‐objective moving horizon scheduling optimization
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley +1 more source
High-Strength Steel in Civil Engineering Structures: A Review of Material Behaviour, Durability, Fatigue and Component Performance. [PDF]
Ding Z +5 more
europepmc +1 more source
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang +3 more
wiley +1 more source
Sustainable Functional Polymer Composites: Bio-Based Systems with Tailored Properties for Civil Engineering Applications-A Review. [PDF]
Iftikhar A, Manalo A, Peerzada M.
europepmc +1 more source
Testing of Materials and Elements in Civil Engineering. [PDF]
Schabowicz K.
europepmc +1 more source
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin +2 more
wiley +1 more source
Utilisation of Sulphur By-Products in Diverse Civil Engineering Applications: A Systematic Review. [PDF]
Qureshi MU +8 more
europepmc +1 more source
Teaching lessons learnt by civil-engineering teachers from the COVID-19 pandemic at the University of Burgos, Spain. [PDF]
Revilla-Cuesta V +3 more
europepmc +1 more source
Abstract Cyber‐physical process systems integrate process dynamics, control, sensing, actuation, and communication, making them vulnerable to attacks that falsify data, alter control actions, or disrupt networks and drive operations toward unsafe states.
Luyang Liu +5 more
wiley +1 more source
Output-Only Modal Identification of Civil Engineering Structures Based on Parametric Complexity Pursuit. [PDF]
Li J +4 more
europepmc +1 more source

