Joshua New Distinguished R&D Staff Member Contact NEWJR@ORNL.GOV All Publications Potential impacts of climate change on the built environment: ASHRAE climate zones, building codes and national energy efficiency Constructing Large Scale Surrogate Models from Big Data and Artificial Intelligence What's New in Building Energy Model Calibration... Evaluation of “Autotune” Calibration Against Manual Calibration of Building Energy Models Comparison of Software Models for Energy Savings from Cool Roofs... Suitability of ASHRAE Guideline 14 Metrics for Calibration... THE MODBUS DEFINITION LANGUAGE SPECIFICATION: A FIRST STEP TOWARDS DEVICE INTEROPERABILITY... A Web-Based Simulation Tool on The Performance of Different Roofing Systems Scalable Tuning of Building Models to Hourly Data... Gamification and Visualization of Sensor Data Analysis in Research Buildings Comparison of Software Models for Energy Savings from Cool Roofs Building Simulation Modelers – are we big-data ready? Uncertainty Analysis of a Heavily Instrumented Building at Different Scales of Simulation... Sensor Data Management, Validation, Correction, and Provenance for Building Technologies... Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents... Cool Roofing: Analysis of Energy Consumption for Cool Roofing Provenance In Sensor Data Management: A Cohesive, Independent Solution... Emerging Technologies in the Built Environment: Geographic Information Science (GIS), 3D Printing, and Additive Manufacturing Autonomous Correction of Sensor Data Applied to Building Technologies Using Filtering Methods... Machine Learning Techniques Applied to Sensor Data Correction in Building Technologies Approximate l-fold cross-validation with Least Squares SVM and Kernel Ridge Regression... Preliminary Analysis of Energy Consumption for Cool Roofing Measures... Estimating Building Simulation Parameters via Bayesian Structure Learning Supercomputer Assisted Generation of Machine Learning Agents for the Calibration of Building Energy Models Evolutionary Tuning of Building Models to Monthly Electrical Consumption Pagination First page « First Previous page ‹‹ … Page 2 Current page 3 Page 4 Next page ›› Last page Last » Key Links Curriculum Vitae Google Scholar ORCID LinkedIn Organizations Energy Science and Technology Directorate Electrification and Energy Infrastructures Division Energy Systems Integration and Controls Section Grid Interactive Controls Group Business Services Directorate Computing and Computational Sciences Directorate National Security Sciences Directorate Partnerships User Facilities Building Technologies Research and Integration Center Oak Ridge Leadership Computing Facility
