SOURCE-LINKED INTELLIGENCE
EBL: Efficient Broad Learning for Distributed Adaptive Harmonic Analysis
Renewable energy systems and electrified transport have found widespread adoption in recent years. The integration of these non-linear loads, dominated by electric vehicle (EV) charging, however, has introduced severe harmonic distortion into the power grid, impacting the efficiency and lifetime of substation equipment and switchgear in the distribution network. Rapid and high-precision harmonic analysis has hence become a prerequisite for effective harmonic control at the source of injection. This paper proposes an Efficient Broad Learning (EBL) framework for distributed adaptive harmonic est
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T21:24:26.000Z
First collected: 2026-09-20T09:01:24.920Z. This is not the publication date.