Daily Power Consumption Plan Derivation via the Monte Carlo-Based Regression Tree Algorithm-Reference-Cited by-同舟云学术

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Daily Power Consumption Plan Derivation via the Monte Carlo-Based Regression Tree Algorithm

Published:2024-04-26 Issue: Volume:224 Page:404-408
ISSN:
Container-title:Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence
language:
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Author:

Hoendarto Genrawan¹^ORCID,Saikhu Ahmad²^ORCID,Ginardi R. Venansius Hari³^ORCID

Affiliation:

1. Department of Information Technology, Institute Technology of Sepuluh Nopember, Indonesia and Informatics, Universitas Widya Dharma Pontianak, Indonesia

2. Department of Information Technology, Institute Technology of Sepuluh Nopember, Indonesia

3. Department of Computer Science, Institute Technology of Sepuluh Nopember, Indonesia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3669754.3669816

Reference22 articles.

1. Building energy-consumption status worldwide and the state-of-the-art technologies for zero-energy buildings during the past decade

2. United Nations Environment Programme, 2022 Global Status Report for Buildings and Construction: Towards a Zero-emission, Efficient and Resilient Buildings and Construction Sector, vol. 224. 2022. [Online]. Available: https://wedocs.unep.org/handle/20.500.11822/41133

3. Development of an ANN-based building energy model for information-poor buildings using transfer learning

4. Multiobjective optimization of building energy consumption and thermal comfort based on integrated BIM framework with machine learning-NSGA II

5. Study on deep reinforcement learning techniques for building energy consumption forecasting

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