Jin Wen

Professor

Drexel University

United States

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About

Professor Jin Wen is a faculty member at Drexel University in the United States. His research focuses on advanced supervisory control strategies for HVAC systems, cyber-resilient control frameworks for energy systems, and the application of artificial intelligence in the built environment. He has published extensively on topics such as HVAC fault diagnosis, energy applications of large language models, and innovative calibration methods for building systems.

Articles (20)

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2021

Collaborators (8)

Zhihong Pang

Assistant Professor

Louisiana State University

UNITED STATES

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Giulia Pedrielli

Associate Professor

Arizona State University

UNITED STATES

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Teresa Wu

Arizona State University

UNITED STATES

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Seungjae Lee

Assistant Professor

University of Toronto

CANADA

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Zheng O'Neill

Texas A&M University

UNITED STATES

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Shohei Miyata

Project Lecturer

The Univeristy of Tokyo

JAPAN

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Liang Zhang

Assistant Professor

University of Arizona

UNITED STATES

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Hyunsoo Yoon

Assistant Professor

Yonsei University

SOUTH KOREA

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Jin Wen

Research Interests

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About

Articles (20)

A cyber-resilient control framework with adaptive model predictive control (AMPC) for securing energy systems in smart buildings

Advances in supervisory control strategies for a heat pump centric HVAC system − a comprehensive review on applications

A framework for calibrating and validating an HVAC system in Modelica

Large language models for building energy applications: Opportunities and challenges

Understanding the role of artificial intelligence in improving human well-being within the built environment

Unsupervised domain adaptation for HVAC fault diagnosis using contrastive adaptation network

Advanced co-simulation framework for assessing the interplay between occupant behaviors and demand flexibility in commercial buildings

Evaluation of data imputation approaches for multi-stream building systems data 1

A hardware-in-the-loop (HIL) testbed for cyber-physical energy systems in smart commercial buildings

Temperature control strategies for fifth generation district heating and cooling systems: A review and case study

Development of high-fidelity air handling unit fault models for FDD innovation: lessons learned and recommendations

A review of data-driven fault detection and diagnostics for building HVAC systems

Eigen-Entropy: A metric for multivariate sampling decisions

A cosine-based correlation information entropy approach for building automatic fault detection baseline construction

Artificial intelligence in smart buildings

Occupant health in buildings: Impact of the COVID-19 pandemic on the opinions of building professionals and implications on research

Active learning strategy for high fidelity short-term data-driven building energy forecasting

A review of machine learning in building load prediction

How Work From Home Has Affected the Occupant's Well-Being in the Residential Built Environment: An International Survey Amid the Covid-19 Pandemic

Special Issue: Well-Being in the Built Environment

Collaborators (8)

Zhihong Pang

Giulia Pedrielli

Teresa Wu

Seungjae Lee

Zheng O'Neill

Shohei Miyata

Liang Zhang

Hyunsoo Yoon

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