Hex Memory Game in Shiny

Jobs, internships, and work opportunities towards improving people's lives 🖖

Tutorial materials for the module Advanced Data Analytics for Management Support

Explore how Natural Language Processing (NLP) can be used to assist in identifying and mapping climate-relevant literature using a supervised learning approach and leverage a state of the art Large…

🤖 Machine Learning Summer School Guide

An up-to-date list of time-series related papers in AI venues.

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

A GAN (generative adversarial network) for projecting synthetic building performance profiles.

An archive for NILM papers with source code and other supplemental material

A Synthetic Energy Consumption Dataset for Non-Intrusive Load Monitoring

Building Optimization Performance Tests

UNMAINTAINED; ARCHIVED - Generate TF-IDF for terms in a collection of documents in German.

The Advanced Controls Test Bed (ACTB) is a virtual buildings test bed that interfaces external controllers to high-fidelity Spawn of EnergyPlus models.

Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus

Functional Data Analysis approach for generation of occupant-related internal loads for Building Energy Simulation

A collection of EnergyPlus API demos -- will eventually be demonstrable in an online notebook

Simple EnergyPlus environments for control optimization using reinforcement learning

A digital companion to the research paper "Explainable Multi-Agent Recommendation System for Energy-Efficient Smart Home", by Alona Zharova, Annika Boer, Julia Knoblauch, Kai Ingo Schewina, Jana Vihs

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

Automated Docker build repo for EnergyPlus

Automated Docker build repo for EnergyPlus

Simple worker to run EnergyPlus jobs and store results

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