activity
20202023
most citedDistributed joint dynamic maintenance and production scheduling in manufacturing systems: Framework based on model predictive control and Benders decomposition

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.GT2023

Incentive Mechanism in the Sponsored Content Market with Network Effect

Mina Montazeri, Pegah Rokhforoz, Hamed Kebriaei +1

We propose an incentive mechanism for the sponsored content provider market in which the communication of users can be represented by a graph and the private information of the use…

cs.AI2022

Multi-Agent Reinforcement Learning with Graph Convolutional Neural Networks for optimal Bidding Strategies of Generation Units in Electricity Markets

Pegah Rokhforoz, Olga Fink

Finding optimal bidding strategies for generation units in electricity markets would result in higher profit. However, it is a challenging problem due to the system uncertainty whi…

eess.SY2021

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

Pegah Rokhforoz, Olga Fink

This paper proposes a safe reinforcement learning algorithm for generation bidding decisions and unit maintenance scheduling in a competitive electricity market environment. In thi…

cs.MA2021

Maintenance scheduling of manufacturing systems based on optimal price of the network

Pegah Rokhforoz, Olga Fink

Goods can exhibit positive externalities impacting decisions of customers in socials networks. Suppliers can integrate these externalities in their pricing strategies to increase t…

cs.DC2020★ 1 cited

Distributed joint dynamic maintenance and production scheduling in manufacturing systems: Framework based on model predictive control and Benders decomposition

Pegah Rokhforoz, Olga Fink

Scheduling the maintenance based on the condition, respectively the degradation level of the system leads to improved system's reliability while minimizing the maintenance cost. Si…

cs.MA2020

Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market

Pegah Rokhforoz, Blazhe Gjorgiev, Giovanni Sansavini +1

Condition-based and predictive maintenance enable early detection of critical system conditions and thereby enable decision makers to forestall faults and mitigate them. However, d…