[HTML][HTML] A review of hydrogen production and supply chain modeling and optimization
This paper reviews recent optimization models for hydrogen supply chains and production.
Optimization is a central component of systematic methodologies to support hydrogen …
Optimization is a central component of systematic methodologies to support hydrogen …
Local flexibility markets: Literature review on concepts, models and clearing methods
With high penetration of renewable generation and distributed energy resources, distribution
systems are facing new operational challenges due to their intermittency and uncertainty. To …
systems are facing new operational challenges due to their intermittency and uncertainty. To …
A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems
The optimal co-planning of the integrated energy system (IES) and machine learning (ML)
application on the multivariable prediction of IES parameters have mostly been carried out …
application on the multivariable prediction of IES parameters have mostly been carried out …
L-SHADE with parameter decomposition for photovoltaic modules parameter identification under different temperature and irradiance
The performance of photovoltaic (PV) system relies on the accurate determination of
unknown parameters in PV models, such as photo-generated current, diode current, and …
unknown parameters in PV models, such as photo-generated current, diode current, and …
A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities
Specialized data preparation techniques, ranging from data cleaning, outlier detection,
missing value imputation, feature selection (FS), amongst others, are procedures required to …
missing value imputation, feature selection (FS), amongst others, are procedures required to …
Predicting ac optimal power flows: Combining deep learning and lagrangian dual methods
Abstract The Optimal Power Flow (OPF) problem is a fundamental building block for the
optimization of electrical power systems. It is nonlinear and nonconvex and computes the …
optimization of electrical power systems. It is nonlinear and nonconvex and computes the …
Distributionally robust multi-period location-allocation with multiple resources and capacity levels in humanitarian logistics
Y Yang, Y Yin, D Wang, J Ignatius, TCE Cheng… - European Journal of …, 2023 - Elsevier
Humanitarian logistics often faces the challenge of dealing with uncertainties when
developing a rescue strategy in response to the occurrence of a disaster. We develop a …
developing a rescue strategy in response to the occurrence of a disaster. We develop a …
Distributed energy management of multi-entity integrated electricity and heat systems: A review of architectures, optimization algorithms, and prospects
Synergies among multiple energy sectors in an integrated electricity and heat system (IEHS)
improve energy efficiency, economic operation and renewable energy utilization, thus …
improve energy efficiency, economic operation and renewable energy utilization, thus …
[图书][B] Integer programming
LA Wolsey - 2020 - books.google.com
A PRACTICAL GUIDE TO OPTIMIZATION PROBLEMS WITH DISCRETE OR INTEGER
VARIABLES, REVISED AND UPDATED The revised second edition of Integer Programming …
VARIABLES, REVISED AND UPDATED The revised second edition of Integer Programming …
[HTML][HTML] Multi-period green reverse logistics network design: An improved Benders-decomposition-based heuristic approach
There has been extensive academic research on the optimisation of reverse logistics (RL)
and closed-loop supply chain (CLSC) network design. However, the existing literature is …
and closed-loop supply chain (CLSC) network design. However, the existing literature is …