Work

IDS-Net: A novel framework for few-shot photovoltaic power prediction with interpretable dynamic selection and feature information fusion

Year: 2026

Type: article

Source: Advanced Engineering Informatics

DOI: 10.1016/j.aei.2026.104455

Authors: Hang Fan, Weican Liu, Zuhan Zhang, Ying Lu, Wencai Run, Dunnan Liu

Institutions: North China Electric Power University, Nanyang Technological University

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: green

Funder: Natural Science Foundation of Hebei Province

Award: G8042929750

OpenAlex ID: W7128742815

FWCI: 16.24

Cites: 30

Cited by: 7

Related to: 10