Work

Photovoltaic power forecast model based on VMD-SSA-GRU

Year: 2024

Type: conference-paper

Source: International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE)

DOI: 10.1117/12.3033598

Authors: Chenggong Zhou, Lan Cao, Binxia Yuan, Yingang Shen

Institution: Shanghai University of Electric Power

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4403467738

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