Peer-Reviewed Journal Articles

Mitchell T. Paulus. Algorithm for explicit solution to the three parameter linear change point regression model. Science and Technology for the Built Environment, 2016.

Bass Abushakra and Mitchell T. Paulus. An hourly hybrid multivariate change point inverse model using short-term monitored data for annual prediction of building energy performance, Part III: Results and Analysis (1404-RP). Science and Technology for the Built Environment, 2016.

Bass Abushakra and Mitchell T. Paulus. An hourly hybrid multivariate change-point inverse model using short-term monitored data for annual prediction of building energy performance, Part II: Methodology (1404-RP). Science and Technology for the Built Environment, 2016.

Bass Abushakra and Mitchell T. Paulus. An hourly hybrid multivariate change- point inverse model using short-term monitored data for annual prediction of building energy performance, Part I: Background (1404-RP). Science and Technology for the Built Environment, 2016.

Mitchell T. Paulus, David E. Claridge, and Charles Culp. Algorithm for automating the selection of a temperature dependent change point model. Energy and Buildings, 87:95–104, 2015.

Kavita Gangisetti, David E. Claridge, Jelena Srebric, and Mitchell T. Paulus. Influence of reduced VAV flow settings on indoor thermal comfort in an office space. Building Simulation, 9(1), 2015.

Book Chapters

Jan L.M. Hensen and Roberto Lamberts. Building Performance Simulation for Design and Operation, Expanded Second Edition. David E. Claridge and Mitchell T. Paulus. Chapter 13: Building Simulation for Practical Operational Optimization.

Conference Presentations

“An Hourly Hybrid Multivariate Change Point Inverse Model Using Short-Term Data for Annual Prediction of Building Energy and Performance: Results and Analysis”, 2017 ASHRAE Winter Conference, Las Vegas, Seminar 62, January 2017.

Invited Presentations

“Neobem: The programmers choice for EnergyPlus”. Texas A&M ASHRAE Student Branch Meeting, November 2021. YouTube neobem.io Neobem GitHub Presentation GitHub

“Reproducible Engineering”, Texas A&M Mechanical Engineering Graduate Student Organization (MEGSO) Technical Seminar, April, 2021 GitHub YouTube

“Software Skills You Need to Know About: Part II”, Texas A&M ASHRAE Student Branch Meeting, February 2020. GitHub YouTube

“CC® for Mission Critical”, Texas Energy Summit, Austin, TX, November 2019

“Software Skills/Tools you Should Know About as an Engineer”, Texas A&M ASHRAE Student Branch Meeting, March 2018. GitHub

“Software Designed for the Continuous Commissioning Process”, Texas A&M ASHRAE Student Branch Meeting, September 2015.

“Software to Assist in the CC Process”, Houston ASHRAE Chapter Student Night, March 2015.