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Stamatis Tsianikas
Stamatis Tsianikas
在 rutgers.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Reinforcement learning for dynamic condition-based maintenance of a system with individually repairable components
N Yousefi, S Tsianikas, DW Coit
Quality Engineering 32 (3), 388-408, 2020
572020
Economic and resilience benefit analysis of incorporating battery storage to photovoltaic array generation
J Zhou, S Tsianikas, DP Birnie III, DW Coit
Renewable energy 135, 652-662, 2019
512019
Dynamic maintenance model for a repairable multi-component system using deep reinforcement learning
N Yousefi, S Tsianikas, DW Coit
Quality Engineering 34 (1), 16-35, 2022
362022
Economic trends and comparisons for optimizing grid-outage resilient photovoltaic and battery systems
S Tsianikas, J Zhou, DP Birnie III, DW Coit
Applied energy 256, 113892, 2019
342019
A storage expansion planning framework using reinforcement learning and simulation-based optimization
S Tsianikas, N Yousefi, J Zhou, MD Rodgers, D Coit
Applied Energy 290, 116778, 2021
162021
Battery selection for optimal grid-outage resilient photovoltaic and battery systems
S Tsianikas, J Zhou, N Yousefi, DW Coit
arXiv preprint arXiv:1901.11389, 2019
152019
Combined optimization of system reliability improvement and resilience with mixed cascading failures in dependent network systems
J Zhou, DW Coit, FA Felder, S Tsianikas
Reliability Engineering & System Safety 237, 109376, 2023
92023
Inspection plan prediction for multi-repairable component systems using neural network
N Yousefi, S Tsianikas, J Zhou, DW Coit
arXiv preprint arXiv:2001.09015, 2020
62020
Deep reinforcement learning for resilient microgrid expansion planning with multiple energy resource
K Pang, J Zhou, S Tsianikas, Y Ma
Quality and Reliability Engineering International 40 (1), 34-56, 2024
52024
Long-term microgrid expansion planning with resilience and environmental benefits using deep reinforcement learning
K Pang, J Zhou, S Tsianikas, DW Coit, Y Ma
Renewable and Sustainable Energy Reviews 191, 114068, 2024
42024
Deep reinforcement learning based microgrid expansion planning with battery degradation and resilience enhancement
K Pang, J Zhou, S Tsianikas, Y Ma
2021 3rd International Conference on System Reliability and Safety …, 2021
42021
Resilience based optimization for western US transmission grid against cascading failures
J Zhou, S Tsianikas, DW Coit, FA Felder
arXiv preprint arXiv:1912.02887, 2019
42019
A sequential resource investment planning framework using reinforcement learning and simulation-based optimization: A case study on microgrid storage expansion
S Tsianikas, N Yousefi, J Zhou, D Coit, M Rodgers
Submitted manuscript to:" Production and Operations Management, 2019
32019
Comparison of neural network based approaches for short-term residential energy load forecasting
S Tsianikas, X Xie, RS Puri, AK Parlikad, DW Coit
IIE Annual Conference. Proceedings, 1-6, 2022
22022
The impact of analytical outage modeling on expansion planning problems in the area of power systems
S Tsianikas, N Yousefi, J Zhou, DW Coit
arXiv preprint arXiv:2001.08815, 2020
22020
Microgrid Expansion Planning Using Simulation-Based Optimization and Reinforcement Learning
S Tsianikas
Rutgers The State University of New Jersey, School of Graduate Studies, 2020
22020
Techno-economic optimization of a PV+ battery system: A case study for a hospital in Orlando, FL
S Tsianikas, J Zhou, DP Birnie, D Coit
IISE Annual Conference, 2019
12019
Optimum sizing of economic and grid-outage resilient solar array considering the forecasting of solar project cost and customer load demand
J Zhou, S Tsianikas, N Yousefi, DW Coit
12th International Conference on Quality, Reliability, Risk, Maintenance …, 2022
2022
Analysis of innovative e-government services
S Tsianikas
2016
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