NYCBuildingEnergyUse
Building emission predictor
Developing regression models to predict greenhouse gas emissions from building energy usage using Google Cloud and machine learning techniques
Creating Regression Models Of Building Emissions On Google Cloud
19 stars
2 watching
6 forks
Language: Jupyter Notebook
last commit: over 1 year ago
Linked from 1 awesome list
bokehdata-scienceenergy-efficiencyexploratory-data-analysisgoogle-app-enginemissing-datamissing-valuesoutlier-detectionoutlier-removalregressionregression-modelsscikit-learnxgboost
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 google/travel-impact-model | Estimates greenhouse gas emissions from flights using data on distances, aircraft types and fuel burn. | 135 |
 kylemcdonald/ethereum-nft-activity | Estimates energy usage and emissions of popular Ethereum-backed CryptoArt platforms | 187 |
 buds-lab/building-data-genome-project-2 | Provides hourly energy meter data from 1,636 buildings over two years for machine learning and data science applications | 190 |
 jgcri/ceds | Produces consistent estimates of global air emissions species over time | 98 |
| buds-lab/the-building-data-genome-project | A collection of non-residential building data for evaluating and comparing performance analysis algorithms | 185 |
 kausaltech/kausal-paths | An application for predicting future emissions based on historical data and climate actions | 6 |
 thegreenwebfoundation/co2.js | A JavaScript library for estimating carbon emissions from digital activities | 430 |
 usepa/epa_moves_model | An emission modeling system for mobile sources | 86 |
 betalab-team/eureca | Urban energy modeling tool for simulating and predicting cities' energy consumption | 15 |
 cloud-carbon-footprint/cloud-carbon-footprint | Estimates energy use and carbon emissions from public cloud usage | 927 |
 hsbay/cdrmex | Models highly speculative carbon dioxide removal scenarios to understand their effects and estimate required emissions reductions. | 12 |
 ipeagit/gtfs2emis | An R package for estimating public transport emissions based on GTFS data | 28 |
 mlco2/impact | Provides tools and templates to estimate CO2 emissions from machine learning models. | 210 |
 openmodels/meta-2021 | An integrated assessment model designed to simulate the effects of climate tipping points on greenhouse gas emissions and social costs. | 13 |
 jdechalendar/gridemissions | Provides tools and data to track power sector emissions by reconciling grid data and computing consumption-based emissions. | 38 |