Hoang-Anh DANG

Employment

Employment history is unavailable.

Education

• Université Grenoble Alpes Ph.D
  2010 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Anomaly Detection in Industrial Application Through Machine Learning: A Case Study of Da Nang’s Water Supply Plant
  2026 DOI: 10.1007/978-981-95-0140-3_36
  +Save
• Convolutional Neural Network for Automatic Meter Reading: A Case Study in a Vietnamese Building Material Factory
  2026 DOI: 10.1007/978-3-032-07721-9_30
  +Save
• Early Fault Detection in Pump Systems Using Unsupervised Anomaly Detection Techniques
  2026 DOI: 10.1007/978-3-032-07721-9_29
  +Save
• Exploring the Potential of Combined Solar Panel and Thermal Energy Storage Systems in Large-Scale Buildings
  2026 DOI: 10.1007/978-981-95-0144-1_27
  +Save
• Motor Current Signature Analysis: A Non-invasive Approach for Diagnosing Asynchronous Motor Faults Using Park’s Vector Approach and Fast Fourier Transform
  2026 DOI: 10.1007/978-981-95-0144-1_30
  +Save
• Building Power Demand Forecasting Using Machine Learning: Application for an Office Building in Danang
  2023 DOI: 10.1007/978-3-031-22200-9_32
  +Save
• A simulation-based multi-objective genetic optimization framework for efficient building design in early stages: application for Vietnam's hot and humid climates
  International Journal of Building Pathology and Adaptation 2022 DOI: 10.1108/IJBPA-04-2021-0050
  +Save
• Impacts of Roof-top Solar Photovoltaic Modules on Building Energy Performance: Case Study of a Residence in HCM City, Vietnam
  IOP Conference Series: Earth and Environmental Science 2020 DOI: 10.1088/1755-1315/505/1/012014
  +Save
• Massive arrival of low-cost and low-consuming sensors in buildings: Towards new building energy services
  IOP Conference Series: Earth and Environmental Science 2019 DOI: 10.1088/1755-1315/307/1/012006
  +Save
• Building Modelling Methodology Combined to Robust Identification for the Temperature Prediction of a Thermal Zone in a Multi-zone Building
  2018 DOI: 10.1007/978-3-319-75429-1_19
  +Save