Work

A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network

Year: 2019

Type: article

Source: Applied Energy

DOI: 10.1016/j.apenergy.2019.113315

Authors: Kejun Wang, Xiaoxia Qi, Hongda Liu

Institution: Harbin Engineering University

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province, Fundamental Research Funds for the Central Universities

Award: G7154753530

OpenAlex ID: W2944920662

FWCI: 12.39

Cites: 38

Cited by: 589

Related to: 10