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Hi there πŸ‘‹

πŸ’« About Me:

I am a PhD student working on energy optimization with focus renewable heating, including district heating, solar thermal technology and heat pumps. Collaborations are very welcome!
I also am also co-developing the github repository topotherm.

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πŸ’» Tech Stack:

Python Postgres Matplotlib NumPy PyTorch Plotly Pandas scikit-learn Scipy

πŸ“Š GitHub Stats:


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Amedeo Ceruti's Projects

csp-guru icon csp-guru

A database of concentrating solar power plants of the world for energy modellers and analysts.

demandlib icon demandlib

Creating heat and power demand profiles from annual values.

gsee icon gsee

GSEE: Global Solar Energy Estimator

maingo_example icon maingo_example

Example scripts to train and find optimum of a feed forward ANN with melon and maingo.

pypsatopo icon pypsatopo

PyPSATopo is a tool that allows generating the topographical representation of any arbitrary PyPSA-based network

summit icon summit

Optimising chemical reactions using machine learning

technology-data icon technology-data

Compiles assumptions on energy system technologies (e.g. costs and efficiencies) for various years.

topotherm-ecos icon topotherm-ecos

topotherm is a pyomo-based open-source optimization model for district heating network design.

tsam icon tsam

Time series aggregation module (tsam). Determines typical operation periods or dereases the temporal resolution. Accelerates model or experiment runs.

urbanheatpro icon urbanheatpro

A bottom-up model for the simulation of heat demand profiles of urban areas

urbs icon urbs

A linear optimisation model for distributed energy systems

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