Decomposing core energy factor structure of U.S. residential buildings through principal component analysis with variable clustering on high-dimensional mixed data-Reference-Cited by-同舟云学术

Decomposing core energy factor structure of U.S. residential buildings through principal component analysis with variable clustering on high-dimensional mixed data

Published:2017-10 Issue: Volume:203 Page:858-873
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Wang Endong

Funder

PREP award

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference67 articles.

1. EIA. Monthly energy review; 2016. http://www.eia.gov/totalenergy/data/monthly.

2. Benchmarking residential energy use;Macdonald,2000

3. DOE. Energy efficiency standards for federal buildings; 2015. https://www.energycodes.gov/energy-efficiency-standards-federal-buildings.

4. Holcomb D, Li W, Seshia S. Algorithms for green buildings: learning-based techniques for energy prediction and fault diagnosis. Technical report, UCB/EECS-2009-138; 2009.

5. An estimation methodology for the dynamic operational rating of a new residential building using the advanced case-based reasoning and stochastic approaches;Hong;Appl Energy,2015

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interpretable Data-Driven Methods for Building Energy Modelling—A Review of Critical Connections and Gaps;Energies;2024-02-14

2. Study of the Energy Consumption Characteristics of Residential Buildings and Influencing Factors Based on Actual Energy Use Data;2024

3. Data-driven analysis of influential factors on residential energy end-use in the US;Journal of Building Engineering;2023-09

4. Full characterization of building energy factor significance by novel integrated stochastic level-based sensitivity analysis with support vector network and multivariate clustering;Energy and Buildings;2023-06

5. Prediction of Sea Level with Vertical Land Movement Correction Using Deep Learning;Mathematics;2022-11-30