Xinlei Wang 王馨蕾
Researcher In AI For Energy
Shenzhen,Guangdong
Summary
Xinlei is a researcher specializing in artificial intelligence, focusing on its interdisciplinary applications in energy systems, climate change, and sustainability. She holds a cross-disciplinary background, working at the intersection of AI, energy economics, and the carbon market.
Overview
6
6
years of professional experience
6
6
years of post-secondary education
Work History
Part-time Research Assistant
Shenzhen Institute of Artificial Intelligence and Robotics for Society
08.2021 - 10.2022
- Project 1 - Carbon Auditing for Listed Companies: Assessed ESG and carbon disclosures (2019–2021) of top 100 Chinese firms listed on NYSE, NASDAQ, and HKEX; analyzed compliance with global reporting standards.
- Project 2 - AI-Based Green Bond Verification: Applied satellite data and AI to enhance corporate carbon accounting and align with Green Bond Principles.
- Project 3 - ETS Strategy with Carbon-Oriented DR: Modeled generator vs. user-side regulation using real Guangdong ETS data; optimized outcomes via Particle Swarm Optimization.
Part-time Research Assistant
Smart Grid and Electricity System Laboratory
09.2020 - 08.2021
- Project 1 - Carbon-Electricity Market Simulation: Simulated interactions between carbon trading and electricity markets using multi-agent systems and AI under various policy scenarios.
- Project 2 - Consulting for Southern China Utility: Advised spot market bidding strategy; demand and price forecasting saved >51M RMB for a Guangdong power company.
- Project 3 - STLF for Industrial Users: Developed SRCNN and LSTM-mWDN models for short-term load forecasting based on industrial electricity usage behavior in Guangdong.
Part-time Research Intern
Deutsche Bank Research
04.2017 - 06.2017
- House Price Prediction in Longgang District:
Collected 5-year housing and CPI data; used R to build ARIMAX and ECM models analyzing dynamic relationships between service CPI and housing prices.
Education
Master of Science - Data Science
School of Science And Engineering, The Chinese University of Hong Kong, Shenzhen
08.2018 - 07.2020
Bachelor of Business Administration with Honours -
School of Management And Economics
The Chinese University Of Hong Kong, Shenzhen 08.2014 - 07.2018
Skills
Python
Publications
- From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection, Accepted, Neural Information Processing Systems (NeurIPS), 2024
- Large Language Model for Low-Carbon Energy Transition: Roles and Challenges, Accepted, Power System and Green Energy Conference (PSGEC), 2024
- AI and Sustainable Development Outlook, Published, Tencent Research Institute, 2024
- Towards Carbon Transparency: A High-Resolution Carbon Emissions Database for China's Listed Companies, On review, 2023
- AI-enabled image fraud in scientific publications, Accepted, Patterns, 2022
- Electricity-consumption Data Reveals the Economic Impact and Industry Recovery during the Pandemic, Accepted, Scientific Report, 2021
- A Review of Power Industry Reform and Electricity Spot Market Trial Operation in Southern China, Accepted, Energy and Climate Change, 2021
Accomplishments
- NeurIPS 2024 Scholar Award, 2024
- CUHKSZ Graduate Student Scholarship, 2018
Timeline
Part-time Research Assistant
Shenzhen Institute of Artificial Intelligence and Robotics for Society
08.2021 - 10.2022
Part-time Research Assistant
Smart Grid and Electricity System Laboratory
09.2020 - 08.2021
Master of Science - Data Science
School of Science And Engineering, The Chinese University of Hong Kong, Shenzhen
08.2018 - 07.2020
Part-time Research Intern
Deutsche Bank Research
04.2017 - 06.2017
Bachelor of Business Administration with Honours -
School of Management And Economics
08.2014 - 07.2018
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