AT
Abbas Tabandeh
Shahid Bahonar University of Kerman, University of Technology Sydney
Research areas: Engineering · Electrical and Electronic Engineering · Hybrid Renewable Energy Systems · Electric Power System Optimization · Integrated Energy Systems Optimization
Employment
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Shahid Bahonar University of Kerman Instructor (Course: “Power Systems Analysis II”)2015 - 2016
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Shahid Bahonar University of Kerman Teaching Assistant (Course: “Power Systems Analysis I”)2015 - 2016
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Shahid Bahonar University of Kerman Instructor (Course: “Electric Machines II”)2013 - 2014
Education
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University of Technology Sydney PhD in "Electrical Engineering"2021 - Present
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Shahid Bahonar University of Kerman M. Sc. in "Electrical Engineering - Power"2013 - 2016
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Shahid Bahonar University of Kerman B. Sc. in "Electrical Engineering - Power"2009 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- Integrated Traffic–Weather-Aware Forecasting of Urban EV Charging Demand for Infrastructure Planning Save
- Optimized hybrid energy systems for sustainable net-zero communities: Modelling, framework design and performance analysis Save
- Planning framework for establishment of hydrogen hubs incorporating the path towards net-zero-driven policies Save
- Techno-economic analysis of green hydrogen export Save
- Hybrid Scenario-IGDT-Based Congestion Management Considering Uncertain Demand Response Firms and Wind Farms Save
- Congestion management using uncertain enrolled customers in emergency demand response programs Save
- Reliability constrained congestion management with uncertain negawatt demand response firms considering repairable advanced metering infrastructures Save
- Security-based congestion management considering power system components' uncertainty Save
- Transmission Congestion Management Considering Uncertainty of Demand Response Resources’ Participation Save
- Stochastic congestion alleviation with a trade-off between demand response resources and load shedding Save
- Stochastic Congestion Management with Demand Response Resources under Smart Grid Environment Save
- Investigation of Voltage Stability Indices Effectiveness in Different Loading Patterns Save
- Reliability Constrained Congestion Management under Smart Electricity Grid Save
- Stochastic Congestion Alleviation with a Trade-Off between Demand Response Resources and Load Shedding Save