Intelligent HEMS Based on Transformer and Hybrid PSO Scheduling Algorithm

Songyi Chen; Peize Fang; Ziheng Hu; Haoqin Zhang; Yao Zhang

doi:10.1109/ACPEE64358.2025.11040877

Intelligent HEMS Based on Transformer and Hybrid PSO Scheduling Algorithm

Songyi Chen
, Peize Fang
, Ziheng Hu
, Haoqin Zhang
, Yao Zhang

School of Electrical Engineering

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the context of growing environmental concerns, Home Energy Management Systems (HEMS) play a crucial role in promoting energy efficiency. This paper proposes an intelligent HEMS that leverages the transformer model for high-precision electricity usage prediction and the Hybrid Particle Swarm Optimization (HPSO) algorithm for optimal energy scheduling. The system takes into account device characteristics, electricity prices, and user preferences. It features a user-friendly graphical interface and incorporates large language models (LLMs) for enhanced voice interaction. Experimental results show that the transformer-based prediction improves accuracy, while the HPSO-based scheduling enhances energy efficiency and cost-effectiveness. With the integration of photovoltaic systems, this system offers a sustainable solution for home energy management, contributing to energy conservation and emission reduction.

Original language	English
Title of host publication	Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025
Editors	Tek-Tjing Lie, Chen Shen, Guojie Li, Youbo Liu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1039-1043
Number of pages	5
ISBN (Electronic)	9798331504076
DOIs	https://doi.org/10.1109/ACPEE64358.2025.11040877
State	Published - 2025
Event	10th Asia Conference on Power and Electrical Engineering, ACPEE 2025 - Beijing, China Duration: 15 Apr 2025 → 19 Apr 2025

Publication series

Name	Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025

Conference

Conference	10th Asia Conference on Power and Electrical Engineering, ACPEE 2025
Country/Territory	China
City	Beijing
Period	15/04/25 → 19/04/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

HEMS
Hybrid PSO
Large Language Models
Transformer

Access to Document

10.1109/ACPEE64358.2025.11040877

Cite this

Chen, S., Fang, P., Hu, Z., Zhang, H., & Zhang, Y. (2025). Intelligent HEMS Based on Transformer and Hybrid PSO Scheduling Algorithm. In T.-T. Lie, C. Shen, G. Li, & Y. Liu (Eds.), Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025 (pp. 1039-1043). (Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACPEE64358.2025.11040877

Chen, Songyi ; Fang, Peize ; Hu, Ziheng et al. / Intelligent HEMS Based on Transformer and Hybrid PSO Scheduling Algorithm. Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025. editor / Tek-Tjing Lie ; Chen Shen ; Guojie Li ; Youbo Liu. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 1039-1043 (Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025).

@inproceedings{8f1285c5dfde40c6877b0cea340f2fdb,

title = "Intelligent HEMS Based on Transformer and Hybrid PSO Scheduling Algorithm",

abstract = "In the context of growing environmental concerns, Home Energy Management Systems (HEMS) play a crucial role in promoting energy efficiency. This paper proposes an intelligent HEMS that leverages the transformer model for high-precision electricity usage prediction and the Hybrid Particle Swarm Optimization (HPSO) algorithm for optimal energy scheduling. The system takes into account device characteristics, electricity prices, and user preferences. It features a user-friendly graphical interface and incorporates large language models (LLMs) for enhanced voice interaction. Experimental results show that the transformer-based prediction improves accuracy, while the HPSO-based scheduling enhances energy efficiency and cost-effectiveness. With the integration of photovoltaic systems, this system offers a sustainable solution for home energy management, contributing to energy conservation and emission reduction.",

keywords = "HEMS, Hybrid PSO, Large Language Models, Transformer",

author = "Songyi Chen and Peize Fang and Ziheng Hu and Haoqin Zhang and Yao Zhang",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025 ; Conference date: 15-04-2025 Through 19-04-2025",

year = "2025",

doi = "10.1109/ACPEE64358.2025.11040877",

language = "英语",

series = "Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1039--1043",

editor = "Tek-Tjing Lie and Chen Shen and Guojie Li and Youbo Liu",

booktitle = "Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025",

}

Chen, S, Fang, P, Hu, Z, Zhang, H & Zhang, Y 2025, Intelligent HEMS Based on Transformer and Hybrid PSO Scheduling Algorithm. in T-T Lie, C Shen, G Li & Y Liu (eds), Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025. Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025, Institute of Electrical and Electronics Engineers Inc., pp. 1039-1043, 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025, Beijing, China, 15/04/25. https://doi.org/10.1109/ACPEE64358.2025.11040877

Intelligent HEMS Based on Transformer and Hybrid PSO Scheduling Algorithm. / Chen, Songyi; Fang, Peize; Hu, Ziheng et al.
Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025. ed. / Tek-Tjing Lie; Chen Shen; Guojie Li; Youbo Liu. Institute of Electrical and Electronics Engineers Inc., 2025. p. 1039-1043 (Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Intelligent HEMS Based on Transformer and Hybrid PSO Scheduling Algorithm

AU - Chen, Songyi

AU - Fang, Peize

AU - Hu, Ziheng

AU - Zhang, Haoqin

AU - Zhang, Yao

PY - 2025

Y1 - 2025

N2 - In the context of growing environmental concerns, Home Energy Management Systems (HEMS) play a crucial role in promoting energy efficiency. This paper proposes an intelligent HEMS that leverages the transformer model for high-precision electricity usage prediction and the Hybrid Particle Swarm Optimization (HPSO) algorithm for optimal energy scheduling. The system takes into account device characteristics, electricity prices, and user preferences. It features a user-friendly graphical interface and incorporates large language models (LLMs) for enhanced voice interaction. Experimental results show that the transformer-based prediction improves accuracy, while the HPSO-based scheduling enhances energy efficiency and cost-effectiveness. With the integration of photovoltaic systems, this system offers a sustainable solution for home energy management, contributing to energy conservation and emission reduction.

AB - In the context of growing environmental concerns, Home Energy Management Systems (HEMS) play a crucial role in promoting energy efficiency. This paper proposes an intelligent HEMS that leverages the transformer model for high-precision electricity usage prediction and the Hybrid Particle Swarm Optimization (HPSO) algorithm for optimal energy scheduling. The system takes into account device characteristics, electricity prices, and user preferences. It features a user-friendly graphical interface and incorporates large language models (LLMs) for enhanced voice interaction. Experimental results show that the transformer-based prediction improves accuracy, while the HPSO-based scheduling enhances energy efficiency and cost-effectiveness. With the integration of photovoltaic systems, this system offers a sustainable solution for home energy management, contributing to energy conservation and emission reduction.

KW - HEMS

KW - Hybrid PSO

KW - Large Language Models

KW - Transformer

UR - https://www.scopus.com/pages/publications/105010616766

U2 - 10.1109/ACPEE64358.2025.11040877

DO - 10.1109/ACPEE64358.2025.11040877

M3 - 会议稿件

AN - SCOPUS:105010616766

T3 - Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025

SP - 1039

EP - 1043

BT - Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025

A2 - Lie, Tek-Tjing

A2 - Shen, Chen

A2 - Li, Guojie

A2 - Liu, Youbo

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025

Y2 - 15 April 2025 through 19 April 2025

ER -

Chen S, Fang P, Hu Z, Zhang H, Zhang Y. Intelligent HEMS Based on Transformer and Hybrid PSO Scheduling Algorithm. In Lie TT, Shen C, Li G, Liu Y, editors, Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025. Institute of Electrical and Electronics Engineers Inc. 2025. p. 1039-1043. (Proceedings - 2025 10th Asia Conference on Power and Electrical Engineering, ACPEE 2025). doi: 10.1109/ACPEE64358.2025.11040877

Intelligent HEMS Based on Transformer and Hybrid PSO Scheduling Algorithm

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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