Evaluation of the causes and impact of outliers on residential building energy use prediction using inverse modeling-Reference-Cited by-同舟云学术

Evaluation of the causes and impact of outliers on residential building energy use prediction using inverse modeling

Published:2018-06 Issue: Volume:138 Page:194-206
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Do Huyen,Cetin Kristen S.

Funder

Ministry of Education and Training of Vietnam and Earth Networks

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference67 articles.

1. How Much Energy Is Consumed in Residential and Commercial Buildings in the United States?;United States Energy Information Administration (US EIA),2016

2. International Energy Outlook 2016;United States Energy Information Administration (US EIA),2016

3. Sources of Greenhouse Gas Emissions;United States Environmental Protection Agency,2014

4. Climate Change 2014. Synthesis Report;Pachauri,2015

Cited by 40 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. Doing More with Less: Applying Low-Frequency Energy Data to Define Thermal Performance of House Units and Energy-Saving Opportunities;Energies;2024-08-22

2. Data-Driven Residential Electric Vehicle Charging Behavior and Load Profile Modeling for Demand Response in the Midcontinent Independent System Operator Region;Journal of Architectural Engineering;2024-06

3. A re‐assessment of the Resource Curse Hypothesis in top resource‐rich developing countries: Fresh insights using method of moments quantile regression;Natural Resources Forum;2024-05-15

4. Unsupervised anomaly detection for manufacturing product images by significant feature space distance measurement;Mechanical Systems and Signal Processing;2024-04

5. A Comparative Analysis of Machine Learning-Based Energy Baseline Models across Multiple Building Types;Energies;2024-03-07