Time series forecasting for energy consumption, ASHRAE dataset on Kaggle. Data wrangling and FE (Pandas), regression (RF, LightGBM, DNN).
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Updated
Sep 30, 2021 - Jupyter Notebook
Time series forecasting for energy consumption, ASHRAE dataset on Kaggle. Data wrangling and FE (Pandas), regression (RF, LightGBM, DNN).
3-months Data Science Bootcamp
Get data from the multimeter Siemens Sentron PAC3200 by Modbus TCP with Python
The energy system has transformed dramatically since the Industrial Revolution. We see this transformation of the global energy supply in this project.
EnergiReporter allows for easy report generation containing visualization and statistics of csv data files generated by the EnergiBridge(https://github.com/tdurieux/energibridge) data monitor. It offers both data (set) analysis en data (sets) comparison reports.
Data Analysis of Energy Trends The main objective of this analysis is to identify renewable energy key performance indicators (KPIs) and trends for the reporting CDP Regions.
3 phase Energy meter built on emonlib
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".
Price of energy in Switzerland 2022
Manage the data in the dynamoDB
Slides from my presentation at the Liberi Oltre event in Venice.
Energy Diary connects to your local MQTT server and collects your energy usage and presents it to you in an easy-to-understand and interactive form.
A scraper retrieving daily energy consumption metrics from over 30 UC Berkeley dorms
A simple script to get/save data from https://www.swissgrid.ch/de/home/operation/grid-data/current-data.html
Python library of the BIGG AI toolbox
Forecasting Grid System Imbalance. MSc thesis work
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