Actual building energy use patterns and their implications for predictive modeling-Reference-Cited by-同舟云学术

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Actual building energy use patterns and their implications for predictive modeling

Published:2017-07 Issue: Volume:144 Page:164-180
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Heidarinejad Mohammad^ORCID,Cedeño-Laurent Jose G.,Wentz Joshua R.,Rekstad Nicholas M.,Spengler John D.,Srebric Jelena^ORCID

Funder

National Science Foundation (NSF), Division of Emerging Frontiers in Research and Innovation (EFRI)

Martin Minta award from the University of Maryland

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference48 articles.

1. A cooling change-point model of community-aggregate electrical load;Ali;Energy Build,2011

2. Using the fuzzy linear regression method to benchmark the energy efficiency of commercial buildings;Chung;Appl Energy,2012

3. Suitability assessment of building energy saving technologies for office buildings in cold areas of China based on an assessment framework;Geng;Energy Convers Manage,2015

4. Calibration procedure for energy performance simulation of a commercial building;Yoon;J SolEnergy Eng,2003

5. Calibrating detailed building energy simulation programs with measured data—Part II: application to three case study office buildings (RP-1051);Reddy;HVAC&R Res,2007

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