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

29 citations · 46 across the 5 of their papers we have counts for

collaborators

5 papers

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…

physics.soc-ph2019★ 5 cited

Resilience based optimization for western US transmission grid against cascading failures

Jian Zhou, Stamatis Tsianikas, David W. Coit +1

Real-world network systems, for example, power grids, are critical to modern economies. Due to the increasing system scale and complex dependencies inside of these networks, system…

eess.SP2019★ 8 cited

Battery selection for optimal grid-outage resilient photovoltaic and battery systems

Stamatis Tsianikas, Jian Zhou, Nooshin Yousefi +1

The first and most important purpose of the current research work is to investigate the effects that different battery types have on the optimal configuration of photovoltaic (PV)…