Buildings' energy consumption prediction models based on buildings’ characteristics: Research trends, taxonomy, and performance measures
Author:
Publisher
Elsevier BV
Subject
Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering
Reference77 articles.
1. Multi-objective optimization design of green building envelopes and air conditioning systems for energy conservation and CO2 emission reduction;Lin;Sustain. Cities Soc.,2021
2. Design optimization of office building envelope based on quantum genetic algorithm for energy conservation;Wang;J. Build. Eng.,2021
3. Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns;Chou;Appl. Energy,2016
4. A methodology for energy multivariate time series forecasting in smart buildings based on feature selection;Gonzalez-Vidal;Energy Build.,2019
5. Machine learning-based thermal response time ahead energy demand prediction for building heating systems;Guo;Appl. Energy,2018
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