most citedLearning Global and Local Features of Power Load Series Through Transformer and 2D-CNN: An Image-based Multi-step Forecasting Approach Incorporating Phase Space Reconstruction

1 citations · 1 across the 1 of their papers we have counts for

collaborators
Showing eess.SPShow all

1 paper · 1 filter

eess.SP2024★ 1 cited

Learning Global and Local Features of Power Load Series Through Transformer and 2D-CNN: An Image-based Multi-step Forecasting Approach Incorporating Phase Space Reconstruction

Zihan Tang, Tianyao Ji, Wenhu Tang

As modern power systems continue to evolve, accurate power load forecasting remains a critical issue in energy management. The phase space reconstruction method can effectively ret…