In the AI era, pure data-driven meteorological and climate models are gradually catching up with, and even surpassing, traditional numerical models. However, significant challenges persist in current ...
Abstract: Solving alternating current optimal power flow (AC-OPF) problems for large-scale power systems is essential for operations integrating renewable energy. However, conventional numerical ...
Abstract: The data-driven method with strong approximation capabilities can be employed for the efficient computation of multi-period optimal power flow (MPOPF). However, existing methods usually ...
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