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Fengqi Li

Assistant Professor

Rensselaer Polytechnic Institute

United States

Research Interests

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Professors in United States Professors in Energy Engineering Energy Engineering professors in United States

Articles (15)

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2026

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2026

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2026

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2023

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2023

Collaborators (2)

Chieh Wang

Senior R&D Staff and Group Leader

Oak Ridge National Laboratory

UNITED STATES

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Joshua New

Joint Faculty

University of Tennessee

UNITED STATES

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ApplyKite TwinLearns as you apply

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Fengqi Li

Research Interests

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Articles (15)

Nation-scale building energy modeling for urban heat island assessment using the AutoBEM framework

AutoBEM: A scalable framework for nationwide building energy simulation and retrofit evaluation in the United States

Exploring Building Retrofit Strategies Using AutoBEM Under Future Weather Scenarios

Evaluating system responses to electric vehicle charging infrastructure expansion through data-driven simulation

Comparing micro climate weather conditions from the weather research and forecasting (wrf) model with typical meteorological year (tmy) data for building energy simulations

Investigating Building Energy Consumption and CO2 Emission in Phoenix Using AutoBEM and Future Typical Meteorological Year (fTMY) Weather Data

Quantifying and Zoning Urban Heat Island Effects Using Unsupervised Machine Learning

UrbanScaping: Community Spatial Data Visualization & Analytics

Impact of Building Characteristics on Energy Demand Profile Forecasting: An Evaluation of Predictive Accuracy and Methods

EMPIRICAL VALIDATION OF UBEM: AN ASSESSMENT OF BIAS IN URBAN BUILDING ENERGY MODELING FOR CHICAGO

Multi-Model Future Typical Meteorological (fTMY) Weather Files for nearly every US County

Bias Correction in Urban Building Energy Modeling for Chicago Using Machine Learning

Evaluating an auto decoder-based generative model for the infomorphism urban planning framework

Infomorphism: an urban planning approach for equitable access to renewable energy

Infomorphism: integrating a forecasting model for high-resolution urban energy demand prediction

Collaborators (2)

Chieh Wang

Joshua New

Make your next move.

Fengqi Li

Research Interests

Make your next move.

Explore related searches

Articles (15)

Nation-scale building energy modeling for urban heat island assessment using the AutoBEM framework

AutoBEM: A scalable framework for nationwide building energy simulation and retrofit evaluation in the United States

Exploring Building Retrofit Strategies Using AutoBEM Under Future Weather Scenarios

Evaluating system responses to electric vehicle charging infrastructure expansion through data-driven simulation

Comparing micro climate weather conditions from the weather research and forecasting (wrf) model with typical meteorological year (tmy) data for building energy simulations

Investigating Building Energy Consumption and CO2 Emission in Phoenix Using AutoBEM and Future Typical Meteorological Year (fTMY) Weather Data

Quantifying and Zoning Urban Heat Island Effects Using Unsupervised Machine Learning

UrbanScaping: Community Spatial Data Visualization &amp; Analytics

Impact of Building Characteristics on Energy Demand Profile Forecasting: An Evaluation of Predictive Accuracy and Methods

EMPIRICAL VALIDATION OF UBEM: AN ASSESSMENT OF BIAS IN URBAN BUILDING ENERGY MODELING FOR CHICAGO

Multi-Model Future Typical Meteorological (fTMY) Weather Files for nearly every US County

Bias Correction in Urban Building Energy Modeling for Chicago Using Machine Learning

Evaluating an auto decoder-based generative model for the infomorphism urban planning framework

Infomorphism: an urban planning approach for equitable access to renewable energy

Infomorphism: integrating a forecasting model for high-resolution urban energy demand prediction

Collaborators (2)

Chieh Wang

Joshua New

Make your next move.

UrbanScaping: Community Spatial Data Visualization & Analytics