Research Areas
Design and control of renewable energy network systems
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Probabilistic design method
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Model predictive control for optimal operations
Probabilistic forecasting and uncertainty quantification for decision making
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Inverse problems related to design, control, and retrofit of energy systems
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Bayesian modeling and probabilistic forecasting
Machine learning based energy forecasting and systen control
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Model architecture development for time-series forecasting
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Interpretable and scalable machine learning models
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Privacy-preserving AI model using anonymized data
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Virtual sensing and fault detection
Exergy analysis for the built environment
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Unsteady-state exergy analyses
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Whole building exergy analysis model
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