Time series forecasting for energy consumption, ASHRAE dataset on Kaggle. Data wrangling and FE (Pandas), regression (RF, LightGBM, DNN).

Analysis of EIA energy data

Get data from the multimeter Siemens Sentron PAC3200 by Modbus TCP with Python

3-months Data Science Bootcamp

SARIMA electricity demand forecasting model in Python using over a million datapoints for Australian states.

Evablazing website is a test website

Code for the paper "Understanding the Effects of Temporal Energy-Data Aggregation on Clustering Quality".

This program is a command line interface application (CLI app), developed in Python to automate data wrangling transformations by cleaning and structuring energy demand (load) data from electricity agencies in 10 Southern African countries. The CLI app supports the data analytics and data pipeline development for the UC Santa Barbara CETlab

Manage the data in the dynamoDB

Price of energy in Switzerland 2022

An android app to display live UK energy industry market data

Implementierung eines Decorator für die Umwandlung von GrünstromIndex Werten in Multi-Tarif OBIS Kennzahlen

NodeJS based server to work with Green Power Index (Grünstromindex) in Germany

Data Extraction, Wrangling & Visualization in Python

School Team Project

Månadspriser el ⚡️

Load diagram extractor for Electridade da Madeira

Cleaned and visualized “Global power plant” dataset that includes 29910 power plants worldwide. Interactive charts and maps were made with plotly to conduct analysis on energy 
generation, including the trends of different fuel types, comparison across regions, and proportion of sustainable fuels. 


Códigos utilizados para la elaboración del Monitor de la Actividad Energética (UNLaM).