Optimizing building retrofit through data analytics: A study of multi-objective optimization and surrogate models derived from energy performance certificates-Reference-Cited by-同舟云学术

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Optimizing building retrofit through data analytics: A study of multi-objective optimization and surrogate models derived from energy performance certificates

Published:2023-07 Issue: Volume: Page:
ISSN:2666-1233
Container-title:Energy and Built Environment
language:en
Short-container-title:Energy and Built Environment

Author:

Araújo G.R.^ORCID,Gomes Ricardo^ORCID,Ferrão Paulo^ORCID,Gomes M. Glória^ORCID

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Building and Construction,Civil and Structural Engineering

Reference47 articles.

1. Combining embodied and operational energy in buildings refurbishment assessment

2. Energy performance certificates — New opportunities for data-enabled urban energy policy instruments?

3. A review of benchmarking, rating and labelling concepts within the framework of building energy certification schemes

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1. Surrogate-Assisted Symbolic Time-Series Discretization Using Multi-Breakpoints and a Multi-Objective Evolutionary Algorithm;Mathematical and Computational Applications;2024-09-11

2. Developing a Data-Driven AI Model to Enhance Energy Efficiency in UK Residential Buildings;Sustainability;2024-04-10

3. A multi-objective optimization method for enclosed-space lighting design based on MOPSO;Building and Environment;2024-02

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