Machine learning-based heat deflection temperature prediction and effect analysis in polypropylene composites using catboost and shapley additive explanations
Among the various physical properties of polypropylene composites (PPCs), heat deflection
temperature (HDT) during PPC production is significant because it is directly related to the …
temperature (HDT) during PPC production is significant because it is directly related to the …
A fast data-driven optimization method of multi-area combined economic emission dispatch
C Lin, H Liang, A Pang - Applied Energy, 2023 - Elsevier
To provide more feasible schemes for power system optimization management and
operation, the interconnection of power grids in different areas is inevitable. Naturally, the …
operation, the interconnection of power grids in different areas is inevitable. Naturally, the …
Multi-objective robust optimization of profit for a naphtha cracking furnace considering uncertainties in the feed composition
A cracking furnace is the primary unit of a naphtha cracking center (NCC) to produce
ethylene (EL) and propylene (PL); the yields of EL and PL depend on the naphtha …
ethylene (EL) and propylene (PL); the yields of EL and PL depend on the naphtha …
Data-driven Modeling for Valve Size and Type Prediction Using Machine Learning
C Kim, M Choi, C Joo, AR Lee, Y Gun… - Korean Chemical …, 2024 - koreascience.kr
Valves play an essential role in a chemical plant such as regulating fluid flow and pressure.
Therefore, optimal selection of the valve size and type is essential task. Valve size and type …
Therefore, optimal selection of the valve size and type is essential task. Valve size and type …