Formulate human-readable queries and retrieve data from ENTSO-E into pandas.DataFrame format.
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Updated
May 10, 2024 - Python
Formulate human-readable queries and retrieve data from ENTSO-E into pandas.DataFrame format.
A learn module dedicated to fossil fuels and risks associated with investments.
This is the Open Source Repository for the Island Pulse energy gauge (islandpulse.org) which reports how much electricity the island of Oahu is using at any given time and where that energy comes from, whether it's wind, solar, or fossil fuels like coal and oil.
Site uses JavaScript to calculate the user's carbon emissions based on vehicle type and daily distance traveled.
An R-based analysis and visualization of global energy use (1965–2021), showing the transition from non-renewable to renewable sources.
An interactive dashboard for exploring detailed carbon emission data from fossil fuels and the manufacture of cement.
A web scraping project in Scrapy, looking at trends in energy generation before and during the Trump administration
⚡ Very short-term wind energy forecasting based on stacking ensemble | 🛢️ Previsão da produção brasileira de petróleo com base em uma abordagem híbrida
Interactive SVG-diagram explorer showing how wind, solar, hydro, geothermal, tidal, biomass, fossil fuel, and nuclear power actually reach a home — built on Nova Scotia's real grid, projects, and controversies.
Campaign web page for B:FfF (Bündnis fossilfreies Flensburg) accumulating data on the Stadtwerke Flensburg GmbH
An online web application that presents the latest available energy related data for Pacific Islands Countries and Territories (PICTs)
A map-first terminal for reading world events through the movement of oil and gas.
Calculator / visualizer of price changes for specific fossil fuels under different carbon tax levels.
Does Taiwan's renewable energy build-out actually displace imported fossil fuels? ARDL bounds-testing on monthly data, 2000-2026. NSTC undergraduate research (National Science and Technology Council, Taiwan).
Contains a raw Excel dataset on global fossil fuel consumption growth, and a cleaned version of the dataset where I've used Spreadsheets software to clean and improve visualization of data.
This project provides a comprehensive data-driven analysis of global energy consumption patterns, focusing on the comparative trajectory of Fossil Fuel Share between major economic blocks: the G7 (developed economies) and BRICS (fast-developing economies), along with a specific focus on Indonesia.
To associate your repository with the fossil-fuels topic, visit your repo's landing page and select "manage topics."