The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.

Tools for producing high-quality hourly generation and emissions data for U.S. electric grids

An R package wrapping the US Energy Information Administration open data API.

Risk tools for commodities trading and finance

An Energy Information Administration (EIA) API python client for researchers who just need data.

A simple wrapper for the U.S. Energy Information Administration API

The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process…

Python wrapper for the U.S. Energy Information Administration (EIA) API v2

Calculation of electricity CO₂ intensity at national, state, and NERC regions from 2001-present

Supporting tools for the Applied Time Series Analysis and Forecasting book

An Intake catalog for distributing open energy system data liberated by Catalyst Cooperative.

Home Assistant Component to retrieve Hourly Energy Demand Data from EIA by Balancing Authority

EIA Scraper - European Union Environmental Impact Assessment project scraper, processor and notifier for Slovakia.

Some of my IoT projects | Programmed servers in NodeJS + Express | Programmed microcontrollers in C and Arduino | ESP8266 as WiFi module.

A tool for capuring snapshots of public data sources and archiving them on Zenodo for programmatic use.

Scrapers used to acquire snapshots of raw data inputs for versioned archiving and replicable analysis.

Spring Boot + Apache Camel EIA using AWS S3, REST APIs, AWS Kinesis, Apache Kafka --> Data Engineering EIA --> Data Engineering As Routes --> Router Pattern

Tools for creating versioned archives of raw data on Zenodo using Frictionless data packages.

Python analysis to track EIA energy consumption and emissions in the United States

Logit regression in Microsoft Excel designed for ELISA and RIA tests.