IEEE

Automated Stock Price Forecasting Using Kernel Ridge Regression

Abstract: Forecasting stock prices is essential for financial decision-making and investment strategy. This study introduces an automated method for short-term stock price forecasting that uses the ...
IEEE

Boosting Wind Power Forecasting using a Dual-Stage Cascaded Support Vector Regression-Gaussian Process Regression Model

Abstract: Accurate wind power forecasting is essential for maintaining power system stability, optimizing dispatch strategies, and managing costs to ensure a balanced electricity supply and demand.
GitHub

SymBOL: A Universal Symbolic Learner for Scientific Discovery Using Bayesian Optimization-Enhanced Large Language Models

Before running the project, you need to configure both the Embedding model and the LLM. Modify the prompts_path in the main function to your local path, for example ...
GitHub

End-to-end ML platform for turbofan engine RUL forecasting, failure classification, and anomaly detection using NASA CMAPSS FD001 dataset

Predicts when a turbofan engine will fail based on multivariate sensor readings. Given a window of sensor data, the platform returns: ...