activity
20192022
most citedOptimization of On-condition Thresholds for a System of Degrading Components with Competing Dependent Failure Processes

70 citations · 133 across the 11 of their papers we have counts for

collaborators

11 papers

eess.SY2022★ 1 cited

STOCHOS: Stochastic Opportunistic Maintenance Scheduling For Offshore Wind Farms

Petros Papadopoulos, David W. Coit, Ahmed Aziz Ezzat

Despite the promising outlook, the numerous economic and environmental benefits of offshore wind energy are still compromised by its high operations and maintenance (O&M) expenditu…

eess.SY2020

Seizing Opportunity: Maintenance Optimization in Offshore Wind Farms Considering Accessibility, Production, and Crew Dispatch

Petros Papadopoulos, David Coit, Ahmed Aziz Ezzat

Operations and Maintenance (O&M) constitute a major contributor to offshore wind's cost of energy. Due to the harsh and remote environment in which offshore turbines operate, there…

eess.SP2020★ 2 cited

Dynamic maintenance policy for systems with repairable components subject to mutually dependent competing failure processes

Nooshin Yousefi, David W. Coit, Zhu Xiaoyan

In this paper, a repairable multi-component system is studied where all the components can be repaired individually within the system. The whole system is inspected at inspection i…

eess.SY2020★ 4 cited

Inspection plan prediction for multi-repairable component systems using neural network

Nooshin Yousefi, Stamatis Tsianikas, Jian Zhou +1

Implementing an appropriate maintenance policy would help us to have a more reliable system and reduce the total costs. In this paper, a dynamic maintenance plan is proposed for re…

eess.SY2020

The impact of analytical outage modeling on expansion planning problems in the area of power systems

S. Tsianikas, N. Yousefi, J. Zhou +1

Expansion planning problems refer to the monetary and unit investment needed for energy production or storage. An inherent element in these problems is the element of stochasticity…

cs.LG2020★ 29 cited

A storage expansion planning framework using reinforcement learning and simulation-based optimization

S. Tsianikas, N. Yousefi, J. Zhou +2

In the wake of the highly electrified future ahead of us, the role of energy storage is crucial wherever distributed generation is abundant, such as in microgrid settings. Given th…