Li Bai

Li Bai

Research Assistant

location of Li BaiCopenhagen, Capital Region of Denmark, Denmark

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  • Timeline

  • About me

    Data Scientist at ConWX

  • Education

    • Università di Pisa

      2016 - 2019
      Doctor of Philosophy - PhD Electrical and Electronics Engineering

      research interests on power line communication, renewable energy forecast and energy management of microgrids

    • DTU - Technical University of Denmark

      2018 - 2018
      Guest PhD student Electrical and Electronics Engineering

      Activities and Societies: A 3-month visit (2018, Sept.-Dec.) at the department of electrical enginnering, Technical University of Denmark.

    • Xi'an Jiaotong University

      2009 - 2013
      Bachelor of Applied Science (B.A.Sc.) Electrical and Electronics Engineering
    • Xi'an Jiaotong University

      2013 - 2016
      Master's degree Electrical Engineering Technologies/Technicians

      power line communication, mostly focus on channel estimation and impulsive noise suppression in power line channels.

  • Experience

    • Xi'an Jiaotong University

      Jul 2016 - Dec 2016
      Research Assistant

      Built physical environment and LabView based platform for field test of data communication over power cables and designed electric couplers and carried out field tests.

    • Chongqing Megalight Technology Corporate LTD

      Jul 2017 - Feb 2018
      Research Staff Member

      Developed text retrieval methods using Deep Learning algorithms based on semantic similarity in natural language processing (NLP) for the legal consulting application. The semantically similar and related lawsuit cases can be more accurately retrieved from the big history database.

    • DTU - Technical University of Denmark

      Jul 2020 - Feb 2022
      Postdoctoral Researcher

      Main responsibilites: develop district heat load forecasting models, market design for district heat sytems, and communicate rountinely with stakeholders involved in the projects.- Developed online probabilistic forecasting models models using AI-based and analytical models for heat consumption in district heating systems for Digital Energy Lab- Bornholms Energy & Forsyning Project and Data Driven digitalisation of district heating system with HOFOR.- Analysed and designed a mathematical temporally-differentiated heating pricing models using game theory in an integrated energy system for district heating, and optimisation problem is coded in Python Show less

    • ConWX

      Feb 2022 - Jul 2024
      Data Scientist

      Main responsibilites: Model development, DataTools' development and Communication with stakeholders.- Improve renewable energy forecasting models using statistics and ML, develop model for new product of icing that applied for wind parks in cold climate in Python with packages such as Scikit-learn, LightGBM and tensorflow- Designed data cleaning algorithms and built data-cleaning tools in Python for integrating into automatic pipeline and assisting data-modelling - Worked with IT for model deployments in bash, crontab, and deliveries via FTP and API with tool such as Postman, Azure Cloud service and Clickhouse database service- Explained analytics and ML concepts to stakeholders through presentations, and assisted sales teams for technical supports in meetings and fairs- Presented research developments in international conferences Show less

  • Licenses & Certifications