We are passionate about finding the patterns in the complex dynamic systems.
Identifying the higher-order structures and their functions to optimize the complex power network and enhance robustness and stablity.
Extending LSTM and CWRNN Time Series Prediction Models to Predict Market Trend and Liquidity including the Market Sentiments from the News and Social Media.
Applying the Multivariate LSTM/CWRNN Models to Predict Renewable Energy and Power System Long-term Forcasting.
Predicting Battery SOC and Develping Adapative Fast Changing Strategy
Developing Housing Price Predictive Analytics
We also interested in Novel Technology such as Quantum Computer Algorithm, etc.
Our members focus on optimize machine learning models and data analysis
We have strong finance, electrical engineering and computer science background