ASHRAE

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OR-94-16-4 — Spatially Enhanced Caging for Laboratory Rats at High Density
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OR-94-16-5 — Sprinkling Mineral Oil to Reduce Dust Concentration in Swine Buildings
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OR-94-17-1 — Bayesian Nonlinear Modeling for the Prediction Competition
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OR-94-17-2 — Predicting System Loads with Artificial Neural Networks — Methods and Results from "The Great Energy Predictor Shootout"
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OR-94-17-3 — Generalized Nonlinear Regression with Ensemble of Neural Nets
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OR-94-17-4 — Using Artificial Neural Nets to Predict Building Energy Parameters
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OR-94-17-5 — A Piecewise-Linear Regression on the ASHRAE Time-Series Data
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OR-94-17-6 — Artificial Neural Network Backpropagation Model with Three-Phase Annealing Developed for the Building Energy Predictor Shootout
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OR-94-17-7 — Predicting Hourly Building Energy Use: The Great Energy Predictor Shootout — Overview and Discussion of Results
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OR-94-18-1 — Ozone-Removal Efficiencies of Activated Carbon Filters After More Than Three Years of Continuous Service
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OR-94-18-3 — Tools for the Analysis of Gas-Phase Air-Cleaning Systems in Buildings
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OR-94-19-1 — Assessment Criteria for Commissioning and Construction Quality Control – Assessing the Effectiveness of Total Building Commissioning
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OR-94-19-2 — Legal Aspects of Commissioning of Building Systems
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OR-94-19-3 — Legal Aspects of Building Commissioning – Claim Avoidance
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OR-94-19-4 — Legal Aspects of Commissioning
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OR-94-20-1 — Thermal Performance of Complex Fenestration Systems
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OR-94-20-2 — Thermal Performance and Rating of Swinging Doors
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OR-94-20-3 — A two-dimensional numerical model for natural convection in a vertical rectangular window cavity
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OR-94-20-4 — Two-Dimensional Finite-Element Model of Heat Transfer in Complete Fenestration Systems
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OR-94-21-1 — The Measurement of High Frequency Variations in Concentrations of Indoor Air Constituents
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OR-94-16-4 — Spatially Enhanced Caging for Laboratory Rats at High Density

OR-94-16-5 — Sprinkling Mineral Oil to Reduce Dust Concentration in Swine Buildings

OR-94-17-1 — Bayesian Nonlinear Modeling for the Prediction Competition

OR-94-17-2 — Predicting System Loads with Artificial Neural Networks — Methods and Results from "The Great Energy Predictor Shootout"

OR-94-17-3 — Generalized Nonlinear Regression with Ensemble of Neural Nets

OR-94-17-4 — Using Artificial Neural Nets to Predict Building Energy Parameters

OR-94-17-5 — A Piecewise-Linear Regression on the ASHRAE Time-Series Data

OR-94-17-6 — Artificial Neural Network Backpropagation Model with Three-Phase Annealing Developed for the Building Energy Predictor Shootout

OR-94-17-7 — Predicting Hourly Building Energy Use: The Great Energy Predictor Shootout — Overview and Discussion of Results

OR-94-18-1 — Ozone-Removal Efficiencies of Activated Carbon Filters After More Than Three Years of Continuous Service

OR-94-18-3 — Tools for the Analysis of Gas-Phase Air-Cleaning Systems in Buildings

OR-94-19-1 — Assessment Criteria for Commissioning and Construction Quality Control – Assessing the Effectiveness of Total Building Commissioning

OR-94-19-2 — Legal Aspects of Commissioning of Building Systems

OR-94-19-3 — Legal Aspects of Building Commissioning – Claim Avoidance

OR-94-19-4 — Legal Aspects of Commissioning

OR-94-20-1 — Thermal Performance of Complex Fenestration Systems

OR-94-20-2 — Thermal Performance and Rating of Swinging Doors

OR-94-20-3 — A two-dimensional numerical model for natural convection in a vertical rectangular window cavity

OR-94-20-4 — Two-Dimensional Finite-Element Model of Heat Transfer in Complete Fenestration Systems

OR-94-21-1 — The Measurement of High Frequency Variations in Concentrations of Indoor Air Constituents