Abstract: The engineering of stable proteins is crucial for various industrial purposes. Several machine learning methods have been developed to predict changes in the stability of proteins ...
Abstract: Load forecasting is critical to the task of energy management in power systems, for example, balancing supply and demand and minimizing energy transaction costs. There are many approaches ...
The source code for the paper L. Lu, P. Jin, G. Pang, Z. Zhang, & G. E. Karniadakis. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators. Nature Machine ...
Seq2point learning is a generic and as well as simple framework for NILM [1-2]. It learns a mapping from the mains window Y to the midpoint x of the curresponding appliance. From probabilistic ...
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