Work

Short-Term Photovoltaic Power Prediction Based on Similar-Day Method Using LSTM-TCN Model

Year: 2024

Type: conference-paper

Source: International Conference on Power and Energy Engineering (ICPEE)

DOI: 10.1109/icpee64457.2024.10950005

Authors: Guanghui Zhu, Jingjing Lyu, Chuan He

Institutions: Chengdu University, Sichuan 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

Funders: Ministry of Education of the People's Republic of China, Department of Science and Technology of Sichuan Province

Awards: G1128966443, G8668030615

OpenAlex ID: W4409326310

FWCI:

Cites: 16

Cited by:

Related to: 10