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Vrije Universiteit Amsterdam
- Amsterdam
- https://alessandrozocca.github.io/
Highlights
- Pro
Stars
🌦️ A catalogue and categorization of AI-based weather forecasting models.
A multi-scale energy systems modelling framework
Planning tool for your Tour du Mont Blanc adventure ⛰️!
A python wrapper for the Todoist REST API.
A sport app to "Elevate" your training experience and goals! Track your fitness and progressions over time. Analyse deeper your activities. And more...
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
The code in this repository is used for research on the definition of Responsability Areas (RA) in multi-agent reinforcement learning for power grids. This work is an extension of Erica van der Sar…
Python package for the Kemeny Decomposition Algorithm (KDA) together with some Markov chain tooling.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Advent of Code 2023 in Python (63rd place)
My Advent of Code solutions. I also upload videos of my solves: https://www.youtube.com/channel/UCuWLIm0l4sDpEe28t41WITA
Tree partitioning algorithms for power networks
A checklist for Good Laboratory Practices for Optimization Research (GLP4OPT) guidelines
All Algorithms implemented in Python
Pyomo respository provides a comprehensive library of solved models in Supply chain management
GridCal, a cross-platform power systems software written in Python with user interface, used in academia and industry.
Pyenv plugin to create a jupyter kernel for every installed pyenv version
Represent trained machine learning models as Pyomo optimization formulations
My Advent of Code submissions. For 2021 and before, these are the original code I used, without any modifications after-the-fact. As such, they are probably not as efficient or short as they should…
In this repo there is the main implementation for the joint work with A. Zocca and G. Bet, "Generating Synthetic Power Grids using Exponential Random Graph Models".
A JuMP extension for Stochastic Dual Dynamic Programming
A JuMP extension for probabilistic (chance) constraints
PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.