Abstract: Wind power generation has grown in importance as renewable energy technology has advanced; nonetheless, wind speed forecasting remains a concern. Traditional approaches are inadequate in ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Abstract: The thermal inertia of buildings brings considerable flexibility to the heating and cooling load, which is known to be a promising demand response resource. The aggregate model that can ...