ANTARES Visualizations
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Updated
Jan 3, 2025 - R
ANTARES Visualizations
Under pressure to reach net-zero greenhouse gas emissions by 2050, the EU is pushing policies to build wind turbines and solar panels, phase out electric cars and replace gas boilers with heat pumps.
Energy Systems Simulation and Steering
This project aimed to develop predictive models for GDP using renewable energy data from various years and countries, utilizing the R programming language. This helps policymakers design effective carbon tax and renewable energy incentives.
Bar plot illustrating the FTE employment levels within the renewable energy industry in Australia
Analysis of USAspending data on clean energy grants targeted for termination by the Department of Energy.
A reproducible data pipeline for analyzing and managing electricity demand ramps in England & Wales (2009–2024). Integrates risk metrics, Monte Carlo hedging simulations, and ESG-aligned dashboards to support portfolio optimization and policy evaluation in the electricity market.
Analysis of congressional press releases exploring mentions of climate change, energy affordability and clean energy.
Download and process data for a mapping application for Resonant Energy that makes geographic criteria for the low-income communities bonus energy investment credit and the energy communities programs queryable by a user
Capacity credit with variable dispatchable sources
Visual analysis of the EU-27 energy transition, 2000–2024: primary energy, electricity mix, coal-to-renewables crossover, and GDP–energy decoupling. Built in R/ggplot2 on the Our World in Data energy dataset.
Discover solaR, a powerful R package designed to streamline solar energy data analysis. Easily filter, sort, visualize, and extract insights from your solar power production data. With solaR, you can effortlessly explore trends, patterns, and performance metrics.
An analysis of the European Renewable Transition.
Interactive R dashboard analyzing global renewable energy consumption across 190+ countries features choropleth maps, time series charts and scatter plots with dynamic year and country filters.
R tools to fetch and visualize NOAA's Monthly U.S. Climate Gridded Dataset (NClimGrid)
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