Frank Li R&D Associate Staff Member Contact LIF2@ORNL.GOV All Publications Impact of Building Characteristics on Energy Demand Profile Forecasting: An Evaluation of Predictive Accuracy and Methods Machine learning for determining building type AutoBEM for BlocPower Empirical Validation of UBEM: An Assessment of Bias in Urban Building Energy Modeling for Chicago... Multi-Model Future Typical Meteorological (fTMY) Weather Files for nearly every US County Cloud Atlas: An Interactive Apparatus for Air Quality Awareness Bias Correction in Urban Building Energy Modeling for Chicago Using Machine Learning... Key Links Google Scholar ORCID LinkedIn Organizations Energy Science and Technology Directorate Electrification and Energy Infrastructures Division Energy Systems Integration and Controls Section Grid Interactive Controls Group Building Technologies Program
