MambaFormer-TPEF: a hybrid state space-transformer framework with two-stage peak enhancement for ultra-long sequence photovoltaic power forecasting

Jiayu Zou, Xixiu Wu, Qingyong Zhang, Zirui Shao · 2026

Read MambaFormer-TPEF: a hybrid state space-transformer framework with two-stage peak enhancement for ultra-long sequence photovoltaic power forecasting by Jiayu Zou, Xixiu Wu, Qingyong Zhang, Zirui Shao (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13408109.txt.

Description

Jiayu Zou and co-authors build in 2026 a forecast frame for sun farm output on long spans. Grid crews need such long calls to hold the grid firm and plan stored power. Long runs fight a clash of speed and grade, and stock loss math tends to call peaks too low.

One half scans long past runs at flat cost while a focus step reads fine swings. A twin peak boost then splits peak size from peak time calls. A stack blend weighs the parts per scene. On real data for a week ahead span, the frame set a top mark and cut peak skew.

Catalog record

CREATORJiayu Zou, Xixiu Wu, Qingyong Zhang, Zirui Shao
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE77 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13408109

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