Contributors: Clayton Miller

Name: Clayton Miller
Login: cmiller8
Email: [email protected]
Description: Leader of the Building and Urban Data Science (BUDS) Research Group at the National University of Singapore
Website: http://www.budslab.org
Location: Singapore
Company: National University of Singapore
Repositories count: 59
Last synced at: 2023-03-12T00:55:36.808Z
OST Projects: 2
Languages: Jupyter Notebook
Categories: Consumption
Sub Categories: Buildings and Heating
Topics: commercial-building, electrical-meters, electricity-meter, energy-efficiency, feature-engineering, feature-extraction, temporal-data, building-automation, building-energy, electricity-consumption, energy-consumption, open-data-science, smart-city, ashrae, ashrae-energy-prediction, building-energy-forecasting, energy-data, kaggle, kaggle-competition, rank-solution, energy-prediction, kaggle-challenge, fitbit, lighting, noise, open-office-space, thermal-comfort, meetup, nus, nus-meetup

Contributed Projects

The-building-data-genome-project

A collection of non-residential buildings for performance analysis and algorithm benchmarking.

commercial-building electrical-meters electricity-meter energy-efficiency feature-engineering feature-extraction jupyter-notebook open-data smart-meter temporal-data

Consumption - Buildings and Heating - Last synced: 29 Apr 2025 - Ranking: 6.6

The Building Data Genome 2 Data-Set

Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition.

building-automation building-energy electricity-consumption electricity-meter energy-consumption energy-efficiency open-data open-data-science open-source smart-city smart-meter

Consumption - Buildings and Heating - Last synced: 29 Apr 2025 - Ranking: 6.1