HALO: HVAC Load Forecasting With Industrial IoT and Local–Global-Scale Transformer-Reference-Cited by-同舟云学术

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HALO: HVAC Load Forecasting With Industrial IoT and Local–Global-Scale Transformer

Published:2024-09-01 Issue:17 Volume:11 Page:28307-28319
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Pan Cheng¹^ORCID,Zhang Cong²,Ngai Edith C. H.¹^ORCID,Liu Jiangchuan³^ORCID,Li Bo⁴

Affiliation:

1. Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong

2. Department of Research & Development, Jiangxing Intelligence Inc., Shenzhen, China

3. School of Computing Science, Simon Fraser University, Burnaby, BC, Canada

4. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong

Funder

RGC RIF

RGC CRF

RGC GRF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10643444/10531216.pdf?arnumber=10531216

Reference51 articles.

1. Reinforcement Learning based HVAC Optimization in Factories

2. IoT Considerations, Requirements, and Architectures for Smart Buildings—Energy Optimization and Next-Generation Building Management Systems

3. An IoT-Based Thermal Model Learning Framework for Smart Buildings

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