Industrial data science–a review of machine learning applications for chemical and process industries
In the literature, machine learning (ML) and artificial intelligence (AI) applications tend to
start with examples that are irrelevant to process engineers (eg classification of images …
start with examples that are irrelevant to process engineers (eg classification of images …
[HTML][HTML] Hybrid renewable energy utility systems for industrial sites: A review
TG Walmsley, M Philipp, M Picón-Núñez… - … and Sustainable Energy …, 2023 - Elsevier
The global energy transition to renewable energy is beginning to gain in pace and scale.
This review focuses on how renewable energy from various sources can supply heating …
This review focuses on how renewable energy from various sources can supply heating …
Optimal targeted lockdowns in a multigroup SIR model
We study targeted lockdowns in a multigroup SIR model where infection, hospitalization,
and fatality rates vary between groups—in particular between the “young,” the “middle …
and fatality rates vary between groups—in particular between the “young,” the “middle …
[图书][B] A multi-risk SIR model with optimally targeted lockdown
We develop a multi-risk SIR model (MR-SIR) where infection, hospitalization and fatality
rates vary between groups—in particular between the “young”,“the middle-aged” and the …
rates vary between groups—in particular between the “young”,“the middle-aged” and the …
Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks
The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …
Rotational and dilational reconstruction in transition metal dichalcogenide moiré bilayers
Lattice reconstruction and corresponding strain accumulation plays a key role in defining the
electronic structure of two-dimensional moiré superlattices, including those of transition …
electronic structure of two-dimensional moiré superlattices, including those of transition …
Combining reinforcement learning and constraint programming for combinatorial optimization
Combinatorial optimization has found applications in numerous fields, from aerospace to
transportation planning and economics. The goal is to find an optimal solution among a finite …
transportation planning and economics. The goal is to find an optimal solution among a finite …
Optimal dispatch approach for second-life batteries considering degradation with online SoH estimation
In light of upcoming electric vehicle (EV) battery retirement issues, second-life batteries
(SLBs) have received increasing attention for their ability to extend the life-span of existing …
(SLBs) have received increasing attention for their ability to extend the life-span of existing …
Dynamic portfolio optimization with real datasets using quantum processors and quantum-inspired tensor networks
S Mugel, C Kuchkovsky, E Sánchez… - Physical Review …, 2022 - APS
In this paper we tackle the problem of dynamic portfolio optimization, ie, determining the
optimal trading trajectory for an investment portfolio of assets over a period of time, taking …
optimal trading trajectory for an investment portfolio of assets over a period of time, taking …
Optimal operational planning of scalable DC microgrid with demand response, islanding, and battery degradation cost considerations
MF Zia, E Elbouchikhi, M Benbouzid - Applied energy, 2019 - Elsevier
With the advancements in power electronic devices, the increasing use of DC loads, DC
renewable generation sources and battery storage systems, and no reactive power and …
renewable generation sources and battery storage systems, and no reactive power and …