Pages that link to "Item:Q339532"
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The following pages link to Scenario construction and reduction applied to stochastic power generation expansion planning (Q339532):
Displaying 18 items.
- A long-term capacity expansion planning model for an electric power system integrating large-size renewable energy technologies (Q1652682) (← links)
- Multi-stage scenario generation by the combined moment matching and scenario reduction method (Q1785257) (← links)
- A scalable solution framework for stochastic transmission and generation planning problems (Q1789560) (← links)
- Solution sensitivity-based scenario reduction for stochastic unit commitment (Q1789567) (← links)
- Scenario reduction algorithms in stochastic programming (Q1866130) (← links)
- Fostering long-term care planning in practice: extending objectives and advancing stochastic treatment within location-allocation modelling (Q2030670) (← links)
- A study of data-driven distributionally robust optimization with incomplete joint data under finite support (Q2098046) (← links)
- Problem-based optimal scenario generation and reduction in stochastic programming (Q2118075) (← links)
- Differentiability conditions for stochastic hybrid systems with application to the optimal design of microgrids (Q2363577) (← links)
- Constructing branching trees of geostatistical simulations (Q2676486) (← links)
- Optimal scenario tree reduction for stochastic streamflows in power generation planning problems (Q3161151) (← links)
- Planning low-carbon electricity systems under uncertainty considering operational flexibility and smart grid technologies (Q4561730) (← links)
- A New Scenario Reduction Method Based on Higher-Order Moments (Q5106389) (← links)
- Partially Adaptive Stochastic Optimization for Electric Power Generation Expansion Planning (Q5131732) (← links)
- Integrated strategic energy mix and energy generation planning with multiple sustainability criteria and hierarchical stakeholders (Q6112574) (← links)
- An accelerated benders decomposition algorithm for stochastic power system expansion planning using sample average approximation (Q6163589) (← links)
- Enhancing explainability of stochastic programming solutions via scenario and recourse reduction (Q6572717) (← links)
- Band Depth Clustering for Nonstationary Time Series and Wind Speed Behavior (Q6622426) (← links)
