Work

PVTimesNet: A Hybrid Deep Learning Method for Enhancing Ultra-Short-Term PV Power Forecasting

Year: 2024

Type: conference-paper

Source: China Automation Congress (CAC)

DOI: 10.1109/cac63892.2024.10865531

Authors: Ji Wu, Kai Wang, Wenwen Ma, Jingxin Zhang, Shibo Wang

Institutions: China Electric Power Research Institute, Southeast University, State Grid Shandong Electric Power Company (China)

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

OpenAlex ID: W4407456291

FWCI: 0.608

Cites: 20

Cited by: 2

Related to: 10