This study assessed associations between biopower generation, and selected timberland structure indicators and carbon stocks across 438 areas surrounding wood-using and coal-burning power plants in the Eastern US from 2005 to 2017.
In this study, we apply a detailed power sector model to explore the near-term role of woody biomass co-firing at existing coal facilities in the Eastern US in the decarbonization of US electricity generation.
The Python API uses the JSON query system to collect large data from FIADB in parallel. It uses EVALIDator to access FIADB, but it can handle large number of queries at a time.
My presentation about impact of biopower generation of forestlands at INFORMS 2020.
In this research, we assessed variability in fundamental attributes for timberland structure and carbon stocks within 123 procurement landscapes of wood pellet mills derived from over 38 thousand forest inventory plots in the eastern US from 2005 to 2017.
Vagrant is a tool for building and managing virtual machine environments in a single workflow. With an easy-to-use workflow and focus on automation, Vagrant lowers development environment setup time, increases production parity, and provides an end-to-end VM management tool on your terminal. This document shows how to install Vagrant and create virtual machines (VM).
SQLite is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine. SQLite is the most used database engine in the world. In this tutorial, we will learn how to use SQLite3 in Python to run simple SQL queries.
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. This document will cover how to install TensorFlow by Anaconda and run a toy example in Python.
Python standard library includes about 220 modules and 54 built-in functions. Each of these modules designed for specific purposes and includes several functions and facilities. In this tutorial we will learn more about Python built-in functions and some useful modules for general Python users.
This page describes several ways to manage resources and also submit and monitor jobs in a high performance computing (HPC) environment.