Pei Huang

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Assistant Senior Lecturer

Dalarna University

Sweden

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About

Pei Huang is an Assistant Senior Lecturer at Dalarna University in Sweden. His research focuses on innovative solutions in energy systems, particularly related to electric vehicles, battery storage, and solar energy applications. Recent publications include studies on electric vehicle charging patterns and their impact on power supply resilience, as well as advancements in battery storage integrated with photovoltaic systems. He also explores the techno-economical aspects of energy management and the enhancement of heat transfer technologies.

Recent Grants

Grant: Open

Solar power sharing building community, Smart electric vehicle charging, Community-to- Vehicle-to-Community (C2V2C)

Open Date: 2023-01-01

Close Date: 2026-12-01

Grant: Close

Design of the Community to Electric Vehicle to Community (C2V2C) model for increased resilience and network friendliness in photovoltaic energy-sharing building communities.

Open Date: 2021-09-01

Close Date: 2022-06-01

Articles (19)

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2022

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2022

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2021

Collaborators (2)

Ross May

Lecturer

Högskolan Dalarna

SWEDEN

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Syed Asad Hussain

University of British Columbia Okanagan

CANADA

View details

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Pei Huang

Research Interests

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About

Recent Grants

Articles (19)

Enhancing electric vehicle charging load prediction in data-scarce scenarios: A hybrid deep learning-based approach integrating clustering analysis and transfer learning

Transforming electric vehicles into mobile power sources: technical performance evaluation of the electric vehicle based virtual electricity network (EVEN) solution for improving the power supply resilience

Techno-economical assessment of battery storage combined with large-scale Photovoltaic power plants operating on energy and Ancillary Service Markets

Multiscale hybrid surface structure modifications for enhanced pool boiling heat transfer: State-of-the-art review

Assessment of the broader applicability of a smart agent in peer-to-peer energy trading: A full factorial analysis of a multi-agent reinforcement learning solution

Optimizing coordinated spatio-temporal control of electric vehicles for enhanced energy sharing and performance across building communities

Unveiling electric vehicle (EV) charging patterns and their transformative role in electricity balancing and delivery: Insights from real-world data in Sweden

Advanced strategies in solar interfacial desalination: Enhancing water productivity and salt resistance

Techno-economic analysis of a 5th generation district heating system using thermo-hydraulic model: A multi-objective analysis for a case study in heating dominated climate

Generating hourly electricity demand data for large-scale single-family buildings by a decomposition-recombination method

Hydrate salt/fumed silica shape-stabilized composite phase change material with adjustable phase change temperature for radiant floor heating system

A multi-agent reinforcement learning approach for investigating and optimising peer-to-peer prosumer energy markets

Evaluation of hosting capacity of the power grid for electric vehicles – A case study in a Swedish residential area

5th generation district heating and cooling (5GDHC) implementation potential in urban areas with existing district heating systems

Development of a calibrated typical meteorological year weather file in system design of zero-energy building for performance improvements

Investigation of the Peer-to-Peer energy trading performances in a local community under the future climate change scenario in Sweden

Dissimilarity-driven ensemble model-based real-time optimization for control of building HVAC systems

A GA-based NZEB-cluster planning and design optimization method for mitigating grid overvoltage risk

Digital Twin for Accelerating Sustainability in Positive Energy District: A Review of Simulation Tools and Applications

Collaborators (2)

Ross May

Syed Asad Hussain

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