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Tian Li

University of Nebraska-Lincoln

1400 R Street

Lincoln, NE 68588

United States

SCHOLARLY PAPERS

5

DOWNLOADS

445

TOTAL CITATIONS

1

Scholarly Papers (5)

1.

Generalized Building Energy and Carbon Emissions Benchmarking with Post-Prediction Analysis

Developments in the Built Environment
Number of pages: 40 Posted: 09 Jun 2023 Last Revised: 15 Mar 2024
University of Nebraska-Lincoln, Carnegie Mellon University, Carnegie Mellon University, Carnegie Mellon University, Carnegie Mellon University, Carnegie Mellon University and Carnegie Mellon University
Downloads 122 (608,822)

Abstract:

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Generalized Energy Benchmarking, Carbon Emissions Benchmarking, Data-driven Method, Machine learning, Tree Boosting, Post-prediction Analysis

2.

Estimating Monthly Building Energy Consumption with Satellite Imagery at Different Zoom Scales

Number of pages: 10 Posted: 19 May 2025
University of Nebraska-Lincoln, University of Nebraska at Lincoln, Carnegie Mellon University, Syracuse University and University of Nebraska at Lincoln
Downloads 118 (608,822)

Abstract:

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Energy Use Intensity (EUI), Satellite Imagery, Deep Learning (CNN + DNN), Building Energy Benchmarking, Machine Learning

3.

An Innovative Building Energy Use Analysis by Unsupervised Classification and Supervised Regression Models

ASHRAE 2023 Annual Conference
Number of pages: 10 Posted: 01 Mar 2024
University of Nebraska-Lincoln, Carnegie Mellon University, Carnegie Mellon University, Carnegie Mellon University and Carnegie Mellon University
Downloads 99 (704,534)

Abstract:

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AI-driven, Energy benchmarking, Machine learning, Unsupervised learning, Supervised Learning

4.

AI-Driven Dual-Scale Building Energy Benchmarking for Decarbonization

2025 ARCC International Conference
Number of pages: 8 Posted: 28 Mar 2025 Last Revised: 19 Jun 2025
Tian Li and Yi Lu
University of Nebraska-Lincoln and Carnegie Mellon University
Downloads 78 (816,709)
Citation 1

Abstract:

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AI-Driven, Building Energy Benchmarking, Machine Learning, Model sensitivity, Decarbonization

5.

An Integrated Framework for Renewable Energy Community Viability and Risk Assessment Under Behavioral, Regulatory, and Investor-Specific Uncertainties

Number of pages: 40 Posted: 28 Apr 2026
Concordia University, University of Nebraska-Lincoln, Concordia University and University of Nebraska-Lincoln
Downloads 28 (1,481,165)

Abstract:

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renewable energy communities (RECs), business model viability, risk analysis assessment, Monte Carlo simulation, multi-unit residential buildings, investor-specific uncertainty