Work

A Short-term Photovoltaic Output Power Forecasting Method by Integrating Physical and Data-driven Models

Year: 2025

Type: conference-paper

Source: Asia Conference on Energy and Electrical Engineering (ACEEE)

DOI: 10.1109/aceee66257.2025.11148673

Authors: Zhe Li, Lingxi Huang, Shirui Gu

Institution: Shanghai Electric (China)

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: Shanghai Rising-Star Program

OpenAlex ID: W4414169677

FWCI:

Cites: 9

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