Offshore Wind Farm Lifecycle Estimation
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Updated
Jun 13, 2025 - Python
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Offshore Wind Farm Lifecycle Estimation
Using q-learning to optimise offshore wind farm power generation as a wake-steering optimisation framework.
GIS project on mapping the impacts of a proposed offshore wind development plan on Isle of Lewis communities [WIP]
Multi-fidelity modeling of wind farm wakes based on a novel super-fidelity network
Code for the paper "A geospatial method for estimating the levelised cost of hydrogen production from offshore wind"
Optimising production and long-term bulk storage of hydrogen from offshore wind in salt caverns in the Irish Sea
Analyzing the Cyber Resilience of Autonomic Software-defined IIoT-Edge Networks in Offshore Wind Power Plants.
Python-based optimisation tool for configuring lazy-wave dynamic power cables using PyGAD and static simulations in OrcaFlex.
Towards autonomous software-defined Industrial IoT-Edge communication networks: A case of offshore wind farms
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