Results 71 to 80 of about 256,176 (302)

Optimal Design of Robust Combinatorial Mechanisms for Substitutable Goods

, 2017
In this paper we consider multidimensional mechanism design problem for selling discrete substitutable items to a group of buyers. Previous work on this problem mostly focus on stochastic description of valuations used by the seller.
A Ben-Tal, AM Manelli, BR Handel, CH Papadimitriou, D Bergemann, J Pereira, J Rosenhead, JC Rochet, L Ülkü, RB Myerson, Y Cai   +10 more
core   +1 more source

An Evolutionary Computational Approach for the Problem of Unit Commitment and Economic Dispatch in Microgrids under Several Operation Modes [PDF]

, 2019
In the last decades, new types of generation technologies have emerged and have been gradually integrated into the existing power systems, moving their classical architectures to distributed systems.
Alvarado Barrios, Lázaro, Gutiérrez Reina, Daniel, Martínez Ramos, José Luis, Rodríguez del Nozal, Álvaro, Tapia Córdoba, Alejandro   +4 more
core   +1 more source

Stochastic optimization of Power‐to‐Methanol: Production cost sensitivity to process design vs. scheduling

AIChE Journal, EarlyView.
Abstract Under time‐varying electricity prices, the production costs of Power‐to‐X processes with intermediate storage can be reduced by simultaneously optimizing the process unit design and size with their scheduling and operation. However, the production cost sensitivity to optimal process design or scheduling is unclear, especially when several ...
Simone Mucci, Dominik Bongartz
wiley   +1 more source

The opportunistic replacement and inspection problem for components with a stochastic life time [PDF]

, 2011
The problem of finding efficient maintenance and inspection schemes in the case of components with a stochastic life time is studied and a mixed integer programming solution is proposed.
Bohlin, Markus, Ekman, Jan, Holst, Anders   +2 more
core   +1 more source

Graph‐based imitation and reinforcement learning for efficient Benders decomposition

AIChE Journal, EarlyView.
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman, Zhe Li, Ilias Mitrai, Prodromos Daoutidis   +3 more
wiley   +1 more source

Multi-Stage Risk-Averse Planning Approach for Multi-Type ESSs Considering Markov Transition of Persistent Low Output Scenario

CSEE Journal of Power and Energy Systems
The rapid expansion of renewable energy, particularly wind and photovoltaic (PV) power generation, increases the vulnerability of power systems to persistent low output scenarios (PLOS), which pose significant security risks.
Jianzhou Feng, Zechun Hu
doaj   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

Advanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad, Solomon Amsalu Chekol, Julius Rasbach, Susanne Hoffmann‐Eifert, Stephan Menzel   +4 more
wiley   +1 more source

Design a Sustainable Supply Chain under Uncertainty using Life Cycle Optimisation and Stochastic Programming

Chemical Engineering Transactions, 2017
This work addresses the life cycle economic and environmental optimisation of a supply chain network considering both design and operational decisions under uncertainty.
J. Gao, F. You
doaj   +1 more source

Deep learning-aided joint DG-substation siting and sizing in distribution network stochastic expansion planning

Frontiers in Energy Research, 2023
The rapid growth of distributed generation (DG) and load has highlighted the necessity of optimizing their ways of integration, as their siting and sizing significantly impact distribution networks.
Zhentao Han, Jianfeng Li, Qixiang Wang, Hao Lu, Siyu Xu, Weiye Zheng, Zixin Zhang   +6 more
doaj   +1 more source

Stability in Two-stage Stochastic Integer Programming [PDF]

, 2005
There is a large number of different approaches for formulating andsolving optimization problems under uncertainty. In applications, one isusually faces incomplete information on probability measure u.Numerical attemps has been made mostly rely on ...
Nababan, E. (Esther)
core