A framework for uncertainty quantification in building heat demand simulations using reduced-order grey-box energy models-Reference-Cited by-同舟云学术

A framework for uncertainty quantification in building heat demand simulations using reduced-order grey-box energy models

Published:2020-10 Issue: Volume:275 Page:115141
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Shamsi Mohammad Haris,Ali Usman,Mangina Eleni,O’Donnell James

Funder

Science Foundation Ireland

Publisher

Elsevier BV

Subject

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

Reference47 articles.

1. I.E. Agency. Global Energy & CO2 Status Report, Tech. Rep. March, OECD/IEA; 2018.

2. I.E. Agency. Energy Efficiency 2018: Analysis and outlooks to 2040, Tech. rep., OECD/IEA; 2018.

3. I. Energy Agency. Energy Efficiency 2017, Tech. rep.; 2017. doi:10.1787/9789264284234-en. www.iea.org/t&c/ https://www.oecd-ilibrary.org/energy/energy-efficiency-2017_9789264284234-en.

4. Calibration of building energy models for retrofit analysis under uncertainty;Heo;Energy Build,2012

5. Maile T, Fischer M, Bazjanac V. Building energy performance simulation tools-a life-cycle and interoperable perspective, Center for Integrated Facility Engineering (CIFE) Working Paper 2007; 107: 1–49.

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