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 …
A comprehensive review of control strategies and optimization methods for individual and community microgrids
Community Microgrid offers effective energy harvesting from distributed energy resources
and efficient energy consumption by employing an energy management system (EMS) …
and efficient energy consumption by employing an energy management system (EMS) …
Optimality guarantees for crystal structure prediction
Crystalline materials enable essential technologies, and their properties are determined by
their structures. Crystal structure prediction can thus play a central part in the design of new …
their structures. Crystal structure prediction can thus play a central part in the design of new …
Resilience-driven optimal sizing and pre-positioning of mobile energy storage systems in decentralized networked microgrids
Networked microgrids are considered an effective way to enhance resilience of localized
energy systems. Recently, research efforts across the world have been focusing on the …
energy systems. Recently, research efforts across the world have been focusing on the …
Stochastic optimization in multi-energy hub system operation considering solar energy resource and demand response
VV Thang, T Ha, Q Li, Y Zhang - International Journal of Electrical Power & …, 2022 - Elsevier
The optimal operation of multi-energy systems based on energy hubs (EHs) is a significant
challenge for operators due to the mutual impact of different energies and the uncertainty of …
challenge for operators due to the mutual impact of different energies and the uncertainty of …
Models and algorithms for production planning, scheduling and sequencing problems: A holistic framework and a systematic review
Production planning, scheduling and sequencing comprise the core of the manufacturing
companies' performance. The new and changing market demands make manufacturing a …
companies' performance. The new and changing market demands make manufacturing a …
New frontiers, challenges, and opportunities in integration of design and control for enterprise-wide sustainability
M Rafiei, LA Ricardez-Sandoval - Computers & Chemical Engineering, 2020 - Elsevier
Enterprise-wide sustainability involves aspects from molecular-scale design to macroscale
facilities. Typically, these aspects are treated as independent sub-problems. Maintaining …
facilities. Typically, these aspects are treated as independent sub-problems. Maintaining …
Nonlinear model predictive control with logic constraints for COVID-19 management
The management of COVID-19 appears to be a long-term challenge, even in countries that
have managed to suppress the epidemic after their initial outbreak. In this paper, we …
have managed to suppress the epidemic after their initial outbreak. In this paper, we …
Economic model predictive control for microgrid optimization: A review
Microgrids have emerged as a promising solution to integrate distributed energy resources
(DERs) and supply reliable and efficient electricity. The operation of a microgrid involves the …
(DERs) and supply reliable and efficient electricity. The operation of a microgrid involves the …
[HTML][HTML] The drone latency location routing problem under uncertainty
This paper addresses a location routing problem arising in the last-mile drone delivery
context, where drones are used to deliver small packages to a set of customers. Each drone …
context, where drones are used to deliver small packages to a set of customers. Each drone …