Yu‐Wen Lin
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View article: Machine Learning for Smart and Energy-Efficient Buildings
Machine Learning for Smart and Energy-Efficient Buildings Open
Energy consumption in buildings, both residential and commercial, accounts for approximately 40% of all energy usage in the United States, and similar numbers are being reported from countries around the world. This significant amount of e…
View article: CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training Open
How to generate conditional synthetic data for a domain without utilizing information about its labels/attributes? Our work presents a solution to the above question. We propose a transfer learning-based framework utilizing normalizing flo…
View article: Hybrid Approach for Digital Twins in the Built Environment
Hybrid Approach for Digital Twins in the Built Environment Open
In recent years, several countries have created policies to enforce Zero Energy Building (ZEB) standards for new building construction. Achieving this for new buildings is feasible, but it may be difficult to transform existing buildings t…
View article: Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure Open
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. Hum…