Prediction of Power System Ramping Demand Using Meteorological Features

Prediction of Power System Ramping Demand Using Meteorological Features

Power system ramping demand consists of deterministic and uncertain components. This study focuses on predicting uncertain ramping demand influenced by meteorological factors. First, an adaptive trend identification algorithm is proposed to extract key features of upward and downward ramps, includin...

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Bibliographic Details
Main Authors: Kuan Lu, Song Gao, Jun Li, Kang Chen, Chunhao Yu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Ramping demand prediction
meteorological factors
TimeXer model
mRMR feature selection
Gaussian negative log-likelihood
Online Access:https://ieeexplore.ieee.org/document/10988543/
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