Work

Photovoltaic Power Prediction Model Based on Meteorological Factors and TCN-KAN Model

Year: 2025

Type: conference-paper

Source: Asia Energy and Electrical Engineering Symposium (AEEES)

DOI: 10.1109/aeees64634.2025.11020382

Authors: Qianqian Wu, Zicheng Wang, Yuening Shi, Guangdi Li

Institution: Northeastern 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: closed

Funder: National Natural Science Foundation of China

Award: G8694380572

OpenAlex ID: W4411233815

FWCI:

Cites: 4

Cited by:

Related to: 10