Short-term cooling load prediction for central air conditioning systems with small sample based on permutation entropy and temporal convolutional network
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference40 articles.
1. Ten questions concerning future buildings beyond zero energy and carbon neutrality;Wang;Build. Environ.,2017
2. Review of global research advances towards net-zero emissions buildings;Ohene;Energ. Buildings,2022
3. Advanced data analytics for enhancing building performances: from data-driven to big data-driven approaches;Fan;Build. Simul.,2021
4. A novel ensemble learning approach to support building energy use prediction;Wang;Energ. Buildings,2018
5. Building thermal load prediction through shallow machine learning and deep learning;Wang;Appl. Energy,2020
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