An adaptive prediction method for ultra-short-term generation power of power system based on the improved long- and short-term memory network of sparrow algorithm

An adaptive prediction method for ultra-short-term generation power of power system based on the improved long- and short-term memory network of sparrow algorithm

Abstract To achieve adaptive and accurate ultra-short-term power generation forecasting in power systems, this study proposes a novel prediction method combining Sparrow Search Algorithm (SSA) with Long Short-Term Memory (LSTM) networks. The methodology involves the following steps: (1) Collecting h...

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Bibliographic Details
Main Authors:	Peipei Yang, Zhidong Chen, Wen Tang, Zongyang Liu, Bingrui He
Format:	Article
Language:	English
Published:	SpringerOpen 2025-06-01
Series:	Energy Informatics
Subjects:	Long- and short-term memory networks Sparrow algorithm Generation power Adaptive prediction Ultra-short-term
Online Access:	https://doi.org/10.1186/s42162-025-00543-3
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