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ICNN-enhanced 2SP: Leveraging input convex neural networks for solving two-stage stochastic programming
Two-stage stochastic programming (2SP) offers a basic framework for modelling decision-making under uncertainty, yet scalability …
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ICNN-enhanced 2SP: Leveraging input convex neural networks for solving two-stage stochastic programming
A Robust Optimization Approach to Flow Decomposition
In this paper, we generalize the minimum flow decomposition problem (MFD) to incorporate uncertain edge capacities and tackle it from …
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A Robust Optimization Approach to Flow Decomposition
Decision tree enhancer (DTE): Improving decision trees with optimization
Decision trees are off-the-shelf machine learning models widely used for classification and regression tasks in medical, logistics, …
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Decision tree enhancer (DTE): Improving decision trees with optimization
Simulator-based surrogate optimisation employing adaptive uncertainty-aware sampling
Optimisation problems involving computationally expensive, black-box functions derived from high-fidelity engineering simulations …
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Simulator-based surrogate optimisation employing adaptive uncertainty-aware sampling
Solving decision problems with endogenous uncertainty and conditional information revelation using influence diagrams
Mathematical programming formulations of influence diagrams can bridge the gap between representing and solving decision problems. …
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Solving decision problems with endogenous uncertainty and conditional information revelation using influence diagrams
Employing federated learning for training autonomous HVAC systems
Buildings account for 40 % of global energy consumption. A considerable portion of building energy consumption stems from heating, …
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Employing federated learning for training autonomous HVAC systems
Streamlining emergency response: A K-adaptable model and a column-and-constraint-generation algorithm
Emergency response refers to the systematic response to an unexpected, disruptive occurrence such as a natural disaster. The response …
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Streamlining emergency response: A K-adaptable model and a column-and-constraint-generation algorithm
Integrated Operational Planning of Battery Storage Systems for Improved Efficiency in Residential Community Energy Management Using Multistage Stochastic Dual Dynamic Programming: A Finnish Case Study
This study introduces a novel approach for optimizing residential energy systems by combining linear policy graphs with stochastic dual …
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Integrated Operational Planning of Battery Storage Systems for Improved Efficiency in Residential Community Energy Management Using Multistage Stochastic Dual Dynamic Programming: A Finnish Case Study
Risk-averse decision strategies for influence diagrams using rooted junction trees
This paper presents how a mixed-integer programming (MIP) formulation for influence diagrams that is based on their gradual rooted …
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Risk-averse decision strategies for influence diagrams using rooted junction trees
A novel strong duality-based reformulation for trilevel infrastructure models in energy systems development
We explore the class of trilevel equilibrium problems with a focus on energy-environmental applications and present a novel …
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A novel strong duality-based reformulation for trilevel infrastructure models in energy systems development