Professor Hongjian Sun's Outputs (85)

An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning (2025)
Presentation / Conference Contribution
Liu, J., Kazemtabrizi, B., Du, H., Matthews, P., & Sun, H. (2024, November). An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning. Presented at 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, USA

With the increasing integration of renewable energy sources into the power grid, accurate and reliable ultra-short-term forecasting of wind power is critical for optimizing grid stability and energy efficiency, especially for a highly dynamic and var... Read More about An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning.

Integrated Satellite-Terrestrial Network for Smart Grid Communications in 6G Era (2025)
Presentation / Conference Contribution
Bisu, A. A., Sun, H., & Gallant, A. (2025, January). Integrated Satellite-Terrestrial Network for Smart Grid Communications in 6G Era. Presented at 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC), University of Nevada, Las Vegas, USA

In this work, we developed and proposed a real testbed with Integrated Satellite-Terrestrial Network (ISTN) scenario. This topology was used to measure the actual parameters that were used as the Smart Grid (SG) Quality of Service (QoS) metrics. Perf... Read More about Integrated Satellite-Terrestrial Network for Smart Grid Communications in 6G Era.

Weather Impact on DER Long-term Performance: A Formal Verification Approach (2025)
Presentation / Conference Contribution
Santana, M. A., Stefanakos, I., Fang, X., Garg, A., Sun, H., & Osman, A. (2024, November). Weather Impact on DER Long-term Performance: A Formal Verification Approach. Presented at 2024 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), Bangalore, India

Distributed energy resources (DERs), such as solar photovoltaic (PV) panels, are essential to modern energy systems, providing resilience and producing clean, local energy. However, their long-term performance is vulnerable to environmental factors,... Read More about Weather Impact on DER Long-term Performance: A Formal Verification Approach.

Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems (2025)
Presentation / Conference Contribution
Demirbaga, U., Singh Aujla, G., & Sun, H. (2025, June). Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

As the scale of data continues to grow exponentially, managing resource allocation and energy consumption in big data systems becomes increasingly complex and critical. Moreover, with big data systems, energy efficiency is more important daily. In cl... Read More about Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems.

COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks (2025)
Presentation / Conference Contribution
Singh Aujla, G., Jindal, A., Kaur, K., Garg, S., Chaudhary, R., Sun, H., & Kumar, N. (2025, June). COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

To mitigate various challenges in the edge-cloud ecosystem, such as global monitoring, flow control, and policy modification of legacy networking paradigms, software-defined networks (SDN) have evolved as a major technology. However, the dependency o... Read More about COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks.

Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks (2025)
Presentation / Conference Contribution
Dua, A., Jindal, A., Singh Aujla, G., & Sun, H. (2025, June). Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

6G applications rely on data-intensive AI models for network optimization. These demand a scalable and energy-efficient framework to handle massive device networks with stringent latency requirements which current solutions struggle to support. Even... Read More about Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks.

Efficient Context-Aware Barring Scheme for Low-Latency 2-Step RACH in 5G Networks (2025)
Presentation / Conference Contribution
Nie, D., Yu, W., Foh, C. H., Ni, Q., Chen, L., Berri, S., Chorti, A., & Sun, H. (2025, May). Efficient Context-Aware Barring Scheme for Low-Latency 2-Step RACH in 5G Networks. Presented at IEEE INFOCOM 2025: IEEE International Conference on Computer Communications - Workshop, London

The random access channel (RACH) procedure is critical for uplink synchronization and connection establishment in massive machine-type communication (mMTC). While 3GPP Release 16 introduced the 2-step RACH to reduce signaling overhead, latency incurr... Read More about Efficient Context-Aware Barring Scheme for Low-Latency 2-Step RACH in 5G Networks.

Multi-Objective Optimisation for Energy Scheduling in Smart Grids using Peer-to-Peer Trading (2024)
Presentation / Conference Contribution
Ezeokafor, C., Harsh, P., & Sun, H. (2024, November). Multi-Objective Optimisation for Energy Scheduling in Smart Grids using Peer-to-Peer Trading. Presented at IEEE PES Australasian Universities Power Engineering Conference (AUPEC), Sydney, Australia

Efficient scheduling of the sources within a community is essential to reduce the electricity-related cost as well as the carbon emissions from the community. A novel energy management strategy for community grids is introduced in this research, leve... Read More about Multi-Objective Optimisation for Energy Scheduling in Smart Grids using Peer-to-Peer Trading.

Optimal Energy Scheduling of Digital Twins Based Integrated Energy System (2024)
Presentation / Conference Contribution
Du, J., Harsh, P., & Sun, H. (2024, December). Optimal Energy Scheduling of Digital Twins Based Integrated Energy System. Presented at The 4th International Conference on Smart City and Green Energy, Sydney

With global climate change and growing electricity demand, optimizing Integrated Energy Systems (IES) for low-carbon and economic transformation has become particularly important. By applying digital twin (DT) technology to create a virtual copy of t... Read More about Optimal Energy Scheduling of Digital Twins Based Integrated Energy System.

Decarbonising Heating with Power-Hydrogen Optimisation (2024)
Presentation / Conference Contribution
Gonzalez-Osuna, E., Correa-Delval, M., & Sun, H. (2024, November). Decarbonising Heating with Power-Hydrogen Optimisation. Presented at 9th International Conference on Renewable Energy and Conservation ICREC 2024, Rome, Italy

This paper presents an analysis of an integrated power-hydrogen system for an energy community, incorporating renewable energy sources as solar panels, battery storage, and grid interaction. This study focuses on optimising energy consumption and min... Read More about Decarbonising Heating with Power-Hydrogen Optimisation.

Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum (2024)
Presentation / Conference Contribution
Dua, A., Singh Aujla, G., Jindal, A., & Sun, H. (2024, December). Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum. Presented at IEEE Global Communications Conference - Workshop on Next-Gen Healthcare Fusion (NgHF): AI-driven Secure Integrated Networks for Healthcare IoT Systems, Cape Town, South Africa

The increasing demand for machine learning (ML) technologies has led to a significant rise in energy consumption and environmental impact, particularly within the context of distributed computing environments like the Edge-Fog-Cloud Continuum. This p... Read More about Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum.

Energy scheduling of technical virtual power plant considering incentive-based demand response program and distribution network reconfiguration (2024)
Presentation / Conference Contribution
Harsh, P., Sun, H., Awagan, G., & Jiang, J. (2024, November). Energy scheduling of technical virtual power plant considering incentive-based demand response program and distribution network reconfiguration. Presented at IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, IL, USA

Virtual power plants (VPPs) are increasingly utilized to efficiently coordinate and manage the increasing number of distributed energy resources (DERs) within power grids. Traditionally, VPP models have prioritized commercial or financial objectives,... Read More about Energy scheduling of technical virtual power plant considering incentive-based demand response program and distribution network reconfiguration.

HYBIC: An Improved Congestion Control Algorithm for Integrated Satellite-Terrestrial Networks in 5G and Beyond Communications (2024)
Presentation / Conference Contribution
Bisu, A. A., Gallant, A., & Sun, H. (2024, October). HYBIC: An Improved Congestion Control Algorithm for Integrated Satellite-Terrestrial Networks in 5G and Beyond Communications. Presented at 2024 IEEE Future Networks World Forum (FNWF), Dubai, UAE

In this paper, we propose an improved Transmission Control Protocol (TCP) algorithm called HYBIC, building upon existing CUBIC and HYBLA algorithms. This HYBIC algorithm is designed for improving capacity utilisation and transmission rate of heteroge... Read More about HYBIC: An Improved Congestion Control Algorithm for Integrated Satellite-Terrestrial Networks in 5G and Beyond Communications.

Compact Implantable Antenna Design for Leadless Cardiac Pacemaker System (2024)
Presentation / Conference Contribution
Brown, M., & Sun, H. (2024, July). Compact Implantable Antenna Design for Leadless Cardiac Pacemaker System. Presented at 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy

This paper details an implantable antenna for leadless cardiac pacemaker (LCP) applications operating in the Industrial Scientific Medical (ISM) frequency band (2.4-2.48GHz). The antenna uses a shorting pin to achieve an improved simulated 10dB fract... Read More about Compact Implantable Antenna Design for Leadless Cardiac Pacemaker System.

Ultra-Miniaturized In-Band Full-Duplex Implantable Antenna for Wireless Capsule Endoscopy (2024)
Presentation / Conference Contribution
Alshammari, A., Iqbal, A., Simorangkir, R. B., Hongjian, S., & Mabrouk., I. B. (2024, July). Ultra-Miniaturized In-Band Full-Duplex Implantable Antenna for Wireless Capsule Endoscopy. Presented at 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy

Coordinated Control for Smoothing Wind Power Fluctuation using Energy Storage Systems (2024)
Presentation / Conference Contribution
Lin, R., Jiang, J., Bao, H., & Sun, H. (2024, July). Coordinated Control for Smoothing Wind Power Fluctuation using Energy Storage Systems. Presented at 28th International Conference on Circuits, Systems, Communications and Computers (CSCC), Heraklion, Crete Island, Greece

The intermittent and fluctuating nature of wind energy challenges the stability of power grids. This paper proposes a coordinated control strategy for a doubly-fed induction generator (DFIG) and lithium-ion energy storage systems to achieve power smo... Read More about Coordinated Control for Smoothing Wind Power Fluctuation using Energy Storage Systems.

Techno-Economic-Environmental Analysis for Net-Zero Sustainable Residential Buildings (2023)
Presentation / Conference Contribution
Garg, A., Aujla, G., & Sun, H. (2023, October). Techno-Economic-Environmental Analysis for Net-Zero Sustainable Residential Buildings. Presented at IEEE PES ISGT Europe 2023, Grenoble, France

Carbon emissions are becoming a global concern responsible for climate change. The renewable energy sources (RESs) such as wind, solar, biomass are gaining importance to reduce emissions in the energy sector. However, these sources depend highly on v... Read More about Techno-Economic-Environmental Analysis for Net-Zero Sustainable Residential Buildings.

Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks (2023)
Presentation / Conference Contribution
Garg;, A., Aujla, G., & Sun, H. (2023, October). Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks. Presented at 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Glasgow, UK

With the high penetration of distributed energy resources (DERs), distribution networks have become more prone to uncertainties associated with renewable energy sources (RESs). If not handled judiciously, these uncertainties may lead to interruption... Read More about Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks.

Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G (2023)
Presentation / Conference Contribution
Thomas, H., Sun, H., & Kazemtabrizi, B. (2023, March). Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G. Presented at ISGT ME 2023, Abu Dhabi, UAE

The uptake of electric vehicles and distributed energy generation is adding significant new demand to distribution networks, however it is unknown whether this can be accommodated by existing infrastructure. This paper first presents an Optimisation... Read More about Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G.

Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation (2022)
Presentation / Conference Contribution
Copsey, E., Sun, H., & Jiang, J. (2022, September). Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation. Presented at 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London

The production of electric vehicle battery packs with ever-increasing energy densities has accelerated the electrification of the world’s automotive industry. With increased attention on the electric vehicle markets, it is vital to increase the safet... Read More about Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation.