matteodefelice Goto Github PK
Name: Matteo De Felice
Type: User
Company: Rabobank
Bio: Senior Data Scientist at Rabobank
Twitter: matteodefelice
Location: Netherlands
Name: Matteo De Felice
Type: User
Company: Rabobank
Bio: Senior Data Scientist at Rabobank
Twitter: matteodefelice
Location: Netherlands
A recipe in Python to calculate weather regimes
Code for reproducibility of the products of the AR6 WGI Interactive Atlas
Create graphs for https://play.google.com/store/apps/details?id=com.drillyapps.babydaybook
Helper page for finding bbox values from a map to help with interaction with tools like gdal, leaflet, openlayers, etc.
A simple way to evaluate Copernicus Climate Change (C3S) seasonal forecasts monthly data
Climate history and possible futures showing your important life events
Climate indices for drought monitoring
Data analysis on COVID-19
Testing Dash app on Azure
The Dispa-SET unit-commitment and optimal dispatch model, developed at the JRC
Docker configuration to develop and deploy a Plotly Dash application
R package for statistical downscaling
A R Shiny application to explore ECA&D metadata
Climate lab support functions
Source code for the video https://www.youtube.com/watch?v=xpBijQev-4s
Lorem Ipsum
Animation of several ERA5-Land variables on a rotating globe
Estimating The Forward Electricity Curve In Brazil With A Model Of Two Agents Using Contracts By Difference And ECP_G Function Authors: Felipe Van de Sande Araujo, Cristina Spineti Luz, Leonardo Lima Gomes, Luís Eduardo Teixeira Brandão Abstract: The development of simple and effective mechanisms to estimate the value of the forward curve of power could enable market participants to better price hedging or speculative positions. This could in turn provide transparency in future price definition to all market participants and lead to more safety and liquidity in the market for electricity futures and power derivatives. This work presents a model for two market participants, a buyer and a seller of a contract for difference on the future spot price of electricity in southwest Brazil. It is shown that this model is representative of all market participants that have exposure to the future price of power. Each participant’s utility function is modeled using a Generalized Extended CVaR Preference (ECP_G) and the market equilibrium is obtained through the minimization of the quadratic difference between the certainty equivalent of both agents. The results are compared with prediction of the future spot price of power made by market specialists and found to yield reasonable results when using out of sample data.
Extract time-series from ERA5-land using political administrative boundaries
Hydrological Data Discovery Tools (R package for hydrology and open data)
a set of R scripts that can be used to scrape and/or process hydropower generation data
Code (R and Python) to retrieve data from the Redes de Seguimiento del Estado e Información Hidrológica
This repository contains a set of R scripts and the data illustrating the possibility to model hourly electricity generation from renewable sources using the latest climate reanalysis from the Copernicus Climate Change Service (C3S).
:exclamation: This is a read-only mirror of the CRAN R package repository. ncdf.tools — Easier 'NetCDF' File Handling
Acquire data with honour and wisdom — using the way of the ninja.
Reduce the friction when working with maps & time-series
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.