An ontology-based framework for automatic building energy modeling with thermal zoning

Author:

Wu ZhaojiORCID,Cheng Jack C.P.ORCID,Wang ZheORCID,Kwok Helen H.L.ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference77 articles.

1. IEA, Buildings, IEA, Paris, 2022. https://www.iea.org/reports/buildings.

2. ASHRAE, Handbook of Fundamentals: Energy Estimating and Modeling Methods; SI Edition, 2009.

3. A review of data-driven building energy consumption prediction studies;Amasyali;Renew. Sustain. Energy Rev.,2018

4. U.S. Department of Energy’s (DOE) Building Technologies Office (BTO), National Renewable Energy Laboratory (NREL), EnergyPlus, (2023). https://energyplus.net/ (accessed May 18, 2023).

5. James J. Hirsch, eQuest, (2018). https://www.doe2.com/equest/ (accessed March 8, 2023).

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