The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States an…

Slides for Seattle University Course on Data Communications

The mission of Project Drawdown is to help the world reach “Drawdown”— the point in the future when levels of greenhouse gases in the atmosphere stop climbing and start to steadily decline, thereby…

Meet the Interactive News Technology (INT) desk at The New York Times

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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

10 Weeks, 20 Lessons, Data Science for All!

Problem sets from practiceprobs.com

Projects for Columbia J School's Data Studio 2022

PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.

Automated modeling and machine learning framework FEDOT

Data sets created for stories on The Pudding, open to the public.

A dataset of energy efficiency patterns on mobile applications

Making carbon footprint data available to everyone.

The open source repository for Electricity Maps App and data parsers that enables a real-time visualisation of the CO2 emissions of electricity consumption

Repository of GEE libraries produced by RedCastle Inc at the US Forest Service Geospatial Technology Applications Center

https://github.com/GoogleCloudPlatform/python-docs-samples

Haptic input knob with software-defined endstops and virtual detents

Python client for the ENTSO-E API (european network of transmission system operators for electricity)

Repo for DKSF Project with Safecast

OpenStreetMap's Blinking Beacons

GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

A tool to quickly and easily create inputs for power systems models

This is a demo project for ngraph.path

AWH-Geo tool and calculations for Global Potential of Harvesting Drinking Water from Air using Solar Energy

A specification that describes how to calculate a carbon intensity for software applications.