Research Projects
Research Interests
- Power & Energy Systems: renewable energy integration, renewable energy forecasting, renewable resource assessment, load forecasting, infrasctructure discovery, system condition clustering, ancillary service estimation,
- Artificial intelligence: machine learning, deep learning, image processing, reinforcement learning.
Research Sponsors
Current Research Projects
Satellite Image Processing for Fundamental Resource Discovery based on Co-occurence Semantic Segmentation
ImageHere
Performance-based Energy Resource Feedback, Optimization, and Risk Management (PERFORM) Data Generation
Finished Research Projects
Solar Uncertainty Management and Mitigation for Exceptional Reliability in Grid Operations
Hierarchy- based Disaggregate Forecasting Using Deep Machine Learning in Power System Time Series
WindView: An Open Platform for Wind Energy Forecast Visualization
Data-Driven Hierarchical Load Forecasting with Distributed Energy Resources