Explore @LBNL-ETA Open Source projects

LBNL Energy Technologies Area (@LBNL-ETA)

LBNL-ETA

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377
Global Org. Rank 28,330 (Top 10 %)
Registered about 9 years ago
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Python
34.0 %

Jupyter Notebook
32.1 %

C++
7.5 %

HTML
7.5 %

Modelica 3.8 %

Ruby
3.8 %

Cython 1.9 %

TypeScript
1.9 %

Faust 1.9 %

ActionScript 1.9 %

R
1.9 %

C
1.9 %
Location 🇺🇸 United States
Country Total Rank 18,229
Country Ranking

Faust 2

Modelica 11

Cython 61

ActionScript 739

Jupyter Notebook
1,259

HTML
2,083

R
3,021

Python
5,034

C++
9,625

Radiance

A Validated Lighting Simulation Tool

SimulatorToFMU

AlphaBuilding-SyntheticDataset

Jupyter Notebook

RMV2.0

RMV2.0 is an open-source R package for performing advanced measurement and verification 2.0 (M&V 2.0)

AutoBFE

Jupyter Notebook

FlexDRL

pyWinCalc

loadshape

A Python module containing tools for analyzing electric load shapes

DOPER

Distributed Optimal and Predictive Energy Resources

AlphaBuilding-ResCommunity

This is the official repository of AlphaBuilding ResCommunity: a realistic OpenAI Gym environment that can be used to train, test and benchmark Thermally Controlled Loads (TCLs) coordination algorithms

Jupyter Notebook

CyDER

EnergyFlexibilityOntology

This repository is for the Energy Flexibility Ontology.

MSWH

Multiscale Solar Water Heating

Jupyter Notebook

FMI-MLC

Functional Mock-up Interface - Machine Learning Center

Jupyter Notebook

nre

Non-Routine Event (NRE) detection and adjustment tool

frads

Framework for lighting and energy simulation using Radiance and EnergyPlus

DFLEXLIBS

Demand Flexibility Controls Library using Semantics

fmi-for-power-system

FMI for Power System

Jupyter Notebook

City-Scale-Electricity-Use-Prediction

This is the official repository that implements the paper: Predicting City-Scale Daily Electricity Consumption Using Data-Driven Models

Jupyter Notebook

a3dbr

Jupyter Notebook

pyradiance

Python wrapper for the validated RADIANCE ray-tracing engine

haxall-based-fault-correction

LPDM

Local Power Distribution Manager (LPDM)

Data-Cleaning

Data cleaning code for gap filling

CalFlexHub

Jupyter Notebook

SolarPlus-Optimizer

This repository is for the development of the Solar+ Optimization software.

Jupyter Notebook

WinCalc

BETTER_analytical_engine

Windows-CalcEngine

Thermal and optical routines for modeling properties of window and shading systems

NWDS

The NOAA Weather Data Scraper (NWDS) is a tool for collecting historical outside air temperature

SCooDER

ESL

G36SavingsCalculator

Models, analysis scripts, and preliminary calculator for estimating savings potential of ASHRAE Guideline 36 control sequences.

Jupyter Notebook

FMLC

Framework for Multi Layer Control in Python

Openstudio-GEB-gem

OpticalMeasurementParser

guideline36_conformance_test

OpenStudio-Occupant-Variability-Gem

citybes-cityffd

Jupyter Notebook

QUOP

Quantitative Universal Option Prioritizer

Jupyter Notebook

elecprice

This project aims to provide a tool for calculating a customer's electricity bill based on a specific utility tariff. An example is given for various California utility tariffs, retrieved from the OpenEI API.

Windows-CalcStandards

THMXParser

epw-writer

Generate EPW files from MesoWest historical weather data

Jupyter Notebook

radbsdf

Python wrapper of Radiance BSDF library

AERCalc

BEDES-Manager

IBPSA-2019-windows-paper

AFC

Advanced Fenestration Control

Jupyter Notebook

idf-version-updater-mac

SynAS

Synthetic Ancillary Service Generator

Jupyter Notebook

TAR

Thermal anomaly and rooftop unit (RTU) detection in buildings through machine learning

Jupyter Notebook

obFMU

V2G-Sim

The Vehicle-to-Grid Simulator (V2G-Sim) invented at Berkeley Lab provides systematic quantitative methods to address the uncertainties and barriers facing vehicle-grid integration (VGI).

Adapter

The Adapter software is developed at the Energy Efficiency Standards Department and it provides a convenient data table loader from various formats such as xlsx, csv, db (sqlite database), and sqlalchemy. Its main feature is the ability to convert data tables identified in one main and optionally one or more additional input files into database tables and Pandas DataFrames for downstream usage in any compatible software.