Synergizing Design of Building Energy Performance Using Parametric Analysis, Dynamic Visualization, and Neural Network Modeling-Reference-Cited by-同舟云学术

Synergizing Design of Building Energy Performance Using Parametric Analysis, Dynamic Visualization, and Neural Network Modeling

Published:2023-12 Issue:4 Volume:29 Page:
ISSN:1076-0431
Container-title:Journal of Architectural Engineering
language:en
Short-container-title:J. Archit. Eng.

Author:

Didwania Srijan K.¹^ORCID,Agami Reddy T.²,Addison Marlin S.³

Affiliation:

1. Senior Simulation Specialist, M.S. Addison and Associates, Tempe, AZ 85281 (corresponding author). ORCID: .

2. Emeritus Faculty, The Design School and School of Sustainable Engineering and the Built Environment, Arizona State Univ., Tempe, AZ 85281.

3. Principal, M.S. Addison and Associates, Tempe, AZ. 85281.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Visual Arts and Performing Arts,Building and Construction,Civil and Structural Engineering,Architecture

Link

https://ascelibrary.org/doi/pdf/10.1061/JAEIED.AEENG-1521

Reference22 articles.

1. Optimization of envelope and HVAC systems selection for residential buildings

2. Burhenne, S., D. Jacob, and G. Henze. 2011. “Sampling based on Sobol” sequences for Monte Carlo techniques applied to building simulations.” In Proc., 12th Conf. of Int. Building Performance Simulation Association, 1816–1823, Sydney: International Building Performance Simulation Association.

3. An effective screening design for sensitivity analysis of large models

4. An Integrated Sensitivity Analysis Method for Energy and Comfort Performance of an Office Building along the Chinese Coastline

5. Energyplus: Energy simulation program;Crawley D. B.;ASHRAE J,2000

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