Results 101 to 110 of about 3,712,155 (267)

Simulation Analysis of Influencing Factors Assessment for Emergency Materials Supply Chain Resilience Based on System Dynamics

Safety Science and Technology, EarlyView.
By integrating game theory‐based combined weighting with a system dynamics model, this study systematically reveals the dominant role of agility and adaptability in the resilience of post‐disaster emergency material supply chains. ABSTRACT In light of the intricate dynamics and uncertain risk parameters inherent in the emergency materials supply chains,
Hao Sun, Longxiang Ma, Fuyu Wang
wiley   +1 more source

Locally Ideal Formulations for Piecewise Linear Functions with Indicator Variables [PDF]

, 2013
In this paper, we consider mixed integer linear programming (MIP) formulations for piecewise linear functions (PLFs) that are evaluated when an indicator variable is turned on.
Linderoth, Jeff, James Luedtke, Luedtke, Jim, Luedtke, James, Sridhar, Srikrishna, Srikrishna Sridhar, Jeff Linderoth   +6 more
core  

A Preventive Static Security Control Strategy for Distribution Networks Based on Phase Shifting Transformer Loop‐Closing Devices

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
As the share of renewable energy in the energy mix continues to increase, the penetration of distributed renewable generation in distribution networks is also rising steadily. Loop‐closing operation provides an effective means to enhance renewable energy accommodation across different grid partitions.
Ningyu Zhang, Yuqiao Jia, Xun Huang, Yuxuan Huang, Xin Zhao, Shan Gao, Jinyang Li   +6 more
wiley   +1 more source

Variance‐Guided Evolutionary Reinforcement Learning for Multi‐Objective Energy Scheduling in Dairy Farms

Artificial Intelligence for Engineering, EarlyView.
This reflects the different optimisation objectives: The MPC formulation in Equation (22) minimises electricity cost together with a weighted thermal‐slack penalty. Its solution is therefore optimal with respect to this combined objective, rather than electricity cost alone.
Nawazish Ali, Rachael Shaw, Karl Mason
wiley   +1 more source

Application of mixed integer programming to a large scale logistics problem [PDF]

Integer Programming;Logistics ...
Westerhof, A.J., Ashayeri, J., Alst, P.H.E.L. van   +2 more
core  

Sub‐optimal Internet of Thing devices deployment using branch and bound method

IET Networks, EarlyView.
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley   +1 more source

Optimizing Supply Chain Design under Demand Uncertainty with Quantity Discount Policy

Mathematics
In typical business situations, sellers usually offer discount schemes to buyers to increase overall profitability. This study aims to design a supply chain network under uncertainty of demand by integrating an all-unit quantity discount policy.
Jung-Fa Tsai, Peng-Nan Tan, Nguyen-Thao Truong, Dinh-Hieu Tran, Ming-Hua Lin   +4 more
doaj   +1 more source

A Multi‐Agent Bidding Strategy in Day‐Ahead Joint Energy and Reserve Markets Considering Risk Preferences

IET Smart Energy Systems, EarlyView.
A PER‐MATD3‐based bidding model for generators in day‐ahead joint energy and reserve markets is proposed. An aggressiveness coefficient quantifies risk preference, KAN improves interpretability and simulation results demonstrate enhanced coordinated decision‐making and training stability.
Xinge Xu, Teng Yan, Xiuming Bao, Dong Liu, Guodong Guo, Yingyun Sun   +5 more
wiley   +1 more source

Strength-constrained unit commitment in IBR dominant power systems

iEnergy
In this paper, a strength-constrained unit commitment (UC) model incorporating system strength constraints based on the weighted short-circuit ratio (WSCR) is proposed.
Yong-Kyu Kim, Sang-Ho Lee, Gyu-Sub Lee
doaj   +1 more source

Flexibility Feasible Region Construction and Operation Optimization for Urban Residential Smart Buildings

IET Smart Energy Systems, EarlyView.
To effectively harness the flexibility of urban residential buildings, this study proposes using the feasible flexibility region (FFR) of residential smart buildings (RSB) as an alternative to directly scheduling a large number of diverse, dispersed, and heterogeneous flexibility resources.
Youjun Deng, Fengji Luo, Yongxi Zhang, Anan Zhang   +3 more
wiley   +1 more source