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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s42162-025-00543-3

Similar Items