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Ralph Muehleisen's Projects

audiocontrol2 icon audiocontrol2

A controller application that can handle multiple concurrent media players

comstock icon comstock

National scale modeling of the U.S. commercial building stock supported by U.S. DOE, LADWP, and others and maintained by NREL

dibs---dynamic-iso-building-simulator icon dibs---dynamic-iso-building-simulator

Adapted ISO13790 hourly dynamic building energy simulator (DIBS) for single buildings and building stocks - Ready to use with ENOB:dataNWG interview and on-site inspection data for the simulation of German building stocks.

energyplus icon energyplus

EnergyPlus™ is a whole building energy simulation program that engineers, architects, and researchers use to model both energy consumption and water use in buildings.

lmsquery icon lmsquery

Python library for queries to Logitech Media Server

modelica-annex60 icon modelica-annex60

Modelica library for building and district energy systems developed within IEA EBC Annex 60

openstudio icon openstudio

OpenStudio is a cross-platform collection of software tools to support whole building energy modeling using EnergyPlus and advanced daylight analysis using Radiance.

post_pubs_to_ojs icon post_pubs_to_ojs

Python code for generating an XML file for posting publications to an OJS sytem in bulk

pvlib-python icon pvlib-python

A set of documented functions for simulating the performance of photovoltaic energy systems.

pyslm icon pyslm

Python version of VSLM the virtual sound level meter

querylms icon querylms

Query Logitech Media Server for server status and player information

resstock icon resstock

Highly granular modeling of residential building stocks at national, regional, and local scales using OpenStudio/EnergyPlus.

rinruby icon rinruby

Ruby library that integrates the R interpreter in Ruby, making R's statistical routines and graphics available within Ruby.

rnlyss icon rnlyss

Python library to download, stack, and manipulated atmospheric reanalyses.

rom-framework icon rom-framework

The reduced order model (ROM) framework was created to build models to use for estimating commercial building energy loads. The framework currently supports linear models, random forests, and support vector regressions. The framework handles the building, evaluation, and validation of the models.

sanfran_urbansim icon sanfran_urbansim

An UrbanSim for San Francisco: an example implementation of the new framework

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