Elimination of multidimensional outliers for a compression chiller using a support vector data description-Reference-Cited by-同舟云学术

Elimination of multidimensional outliers for a compression chiller using a support vector data description

Published:2020-12-07 Issue:5 Volume:27 Page:578-591
ISSN:2374-4731
Container-title:Science and Technology for the Built Environment
language:en
Short-container-title:Science and Technology for the Built Environment

Author:

Kim Jae Min¹,Park Cheol Soo²

Affiliation:

1. Department of Architecture and Architectural Engineering, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea

2. Department of Architecture and Architectural Engineering, Institute of Construction and Environmental Engineering, Institute of Engineering Research, College of Engineering, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul, 08826, South Korea

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry & Energy(MOTIE) of the Republic of Korea

Institute of Construction and Environmental Engineering at Seoul National University

The Institute of Engineering Research at Seoul National University

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Building and Construction,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23744731.2020.1851544

Reference56 articles.

1. Review of modeling methods for HVAC systems

2. Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system

3. Gaussian Process Model for Control of an Existing Building

4. Propagation of outliers in multivariate data

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