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Spike-LSTM: A Hybrid Spiking Neural Architecture for Enhancing Renewable SCR Prediction

Year: 2025

Type: conference-paper

Source: Asia Energy and Electrical Engineering Symposium (AEEES)

DOI: 10.1109/aeees64634.2025.11020303

Authors: Yawei Wei, Huayang Liang, Ying Lv, Guangming Lu

Institutions: China Electric Power Research Institute, State Grid Corporation of China (China), State Grid Hebei Electric Power Company

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4411232874

FWCI:

Cites: 14

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Related to: 10