Machine Learning for Smart and Energy-Efficient Buildings

no code implementations • 27 Nov 2022 • Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan, Lucas Spangher, Alex Devonport, Yu Yang, Jan Drgona, Adrian Chong, Stefano Schiavon, Costas J. Spanos

In this work, we review the ways in which machine learning has been leveraged to make buildings smart and energy-efficient.

CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training

no code implementations • 25 Aug 2021 • Hari Prasanna Das, Ryan Tran, Japjot Singh, Yu-Wen Lin, Costas J. Spanos

We also learn the joint distribution of the data samples and attributes in the source domain by employing an encoder to map attributes to the latent space via adversarial training.

Attribute Synthetic Data Generation +1

Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure

no code implementations • 16 Oct 2019 • Ioannis C. Konstantakopoulos, Hari Prasanna Das, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Aummul Baneen Manasawala, Yu-Wen Lin, Costas J. Spanos

In this paper, we propose a gamification approach as a novel framework for smart building infrastructure with the goal of motivating human occupants to reconsider personal energy usage and to have positive effects on their environment.

Benchmarking Decision Making