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2021-global-grid

This repository stores the R scripts that represent the underlying analyses for the global grid paper (citation below)

2021txpoweroutage

ai4dist----ai-friendly-power-distribution-system-simulation-platform

autonomous-energy-controller-rl

Deep reinforcement learning for autonomous energy management

burleyson-etal_2021_applied_energy

Meta repository for data and code associated with the Burleyson et al. 2021 paper in Applied Energy.

capow_py36

cerf

The Capacity Expansion Regional Feasibility (CERF) model

chaospy

Chaospy - Toolbox for performing uncertainty quantification.

couplings-heat-crops

Data and code for Lesk et al. 2021

create_wind_and_solar_resource_files

A repository to collect the work of Caldeira Lab postdocs for generating wind and solar capacity factor files for using in MEM.

des-opf-design

DES MILP design model with balanced nonlinear OPF formulations, which can be solved as an MINLP or NLP with a fixed binary topology.

economicdispatch

The following code is a mixed integer linear programming (MILP) optimisation for an multi period economic load dispatch problem. It is implemented using pyomo.

entmoot

Multiobjective black-box optimization using gradient-boosted trees

generalized_bd_for_rsp

geodata

Geospatial data collection and "pre-analysis" tools

gridpath

A versatile simulation and optimization platform for power-system planning and operations.

hdv

Optimization-based model of transportation for charging electric heavy duty vehicles

isone_uced

UC/ED model of the New England electricty grid with offshore wind integration

lego

Low-carbon Expansion Generation Optimization (LEGO) model

mem_public

multi_objective_optimization

Multi-objective optimization of operation planning of disitrict energy systems to minimize operating cost and emissions under uncertainties.

omlt

Represent trained machine learning models as Pyomo optimization formulations

ontario-evs

Generation dispatch and unit commitment model to evaluate impacts of different levels of EV penetrations on the power sector in Ontario

openempire

Stochastic linear program for investments in the European power system

opticl

An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

power-systems-optimization

Power systems optimization course materials

python-for-environmental-research

Teaching materials for an introduction to using Python for environmental research (UNC Department of Environmental Sciences and Engineering)

reise.jl

Renewable Energy Integration Simulation Engine

romodel

Modeling robust optimization problems in Pyomo

sem_public