Work

Short-term prediction of PV power by coupling QPSO-LSTM and improved mechanism modeling

Year: 2024

Type: conference-paper

Source: IEEE Conference on Energy Internet and Energy System Integration (EI2)

DOI: 10.1109/ei264398.2024.10990378

Authors: Zhenghui Li, Shihao Shen, Pengjun Li, Chengzhou Li

Institutions: China National Petroleum Corporation (China), North China Electric Power University

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

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

Open Access status: closed

Funder: Fundamental Research Funds for the Central Universities

OpenAlex ID: W4410394644

FWCI:

Cites: 14

Cited by:

Related to: 10