An improved two-stage robust optimization model for CCHP-P2G microgrid system considering multi-energy operation under wind power outputs uncertainties

Y Li, F Zhang, Y Li, Y Wang - Energy, 2021 - Elsevier
The combined cooling, heating and power (CCHP) microgrid has the advantages of
promoting cleaner production and improving energy utilization efficiency. With the …

Integrated production planning and preventive maintenance scheduling for synchronized parallel machines

Y Liu, Q Zhang, Z Ouyang, HZ Huang - Reliability Engineering & System …, 2021 - Elsevier
Production synchronization is an emerging paradigm in advanced manufacturing systems,
with which the inventory space and cost of finished products can be significantly reduced …

A data driven robust optimization model for scheduling near-zero carbon emission power plant considering the wind power output uncertainties and electricity-carbon …

Y Li, Y Sun, J Liu, C Liu, F Zhang - Energy, 2023 - Elsevier
Under the carbon peak and neutrality targets, the power generation industry in China is
facing an urgent demand for a low carbon transition and participation in the electricity …

Modified grey wolf optimization approach for power system transmission line congestion management based on the influence of solar photovoltaic system

K Paul - International Journal of Energy and Environmental …, 2022 - Springer
This research manuscript proposes a Modified Grey Wolf Optimization approach for the
power system congestion cost problem based on real power rescheduling methodology with …

Multi-objective risk-based optimal power system operation with renewable energy resources and battery energy storage system: A novel Hybrid Modified Grey Wolf …

K Paul - Transactions of the Institute of Measurement and …, 2022 - journals.sagepub.com
This research work proposes a Hybrid Modified Grey Wolf Optimization–Sine Cosine
Algorithm for the multi-objective optimal scheduling of hybrid power system taking into …

Optimal scheduling of multiple multi-energy supply microgrids considering future prediction impacts based on model predictive control

B Li, R Roche - Energy, 2020 - Elsevier
Renewable energy based multi-energy supply microgrids not only can cover different types
of demands (such as, electricity/heat/gas), but also can interconnect with different utility grid …

Industrial-environmental management in China's iron and steel industry under multiple objectives and uncertainties

D Huang, CD Dinga, Z Wen, D Razmadze - Journal of Environmental …, 2022 - Elsevier
Industrial-environmental management is a multi-objective optimization problem plagued
with multiple uncertainties. Most studies only optimize few objectives and often neglect these …

Many-objective optimization of energy conservation and emission reduction under uncertainty: A case study in China's cement industry

CD Dinga, Z Wen - Energy, 2022 - Elsevier
Abstract The difficulty of Energy Conservation and Emission Reduction (ECER)
management has increased due to the large number of conflicting objectives and multiple …

An energy-aware scheduling algorithm under maximum power consumption constraints

YL Chou, JM Yang, CH Wu - Journal of Manufacturing Systems, 2020 - Elsevier
This research investigates the production scheduling problems under maximum power
consumption constraints. Probabilistic models are developed to model dispatching …

Lithography reticle scheduling in semiconductor manufacturing

CY Lee, CM Wu, CY Hsu, HH Xie… - Engineering …, 2023 - Taylor & Francis
The lithography process in semiconductor dynamic random-access memory (DRAM)
fabrication plants (fabs) is usually a major bottleneck, and reticle scheduling is complicated …