Work

Anomaly detection of photovoltaic power generation based on quantile regression recurrent neural network

Year: 2024

Type: article

Source: Electric Power Systems Research

DOI: 10.1016/j.epsr.2024.111132

Authors: Chengcheng Yi, Yu Peng, Sheng Su, Bin Li, Xiaoqian Wang, Wenqing Zhou, Xin Guo, Hongming Yang, Wenchuan Meng

Institutions: Changsha University of Science and Technology, Hunan First Normal University, China Southern Power Grid (China)

Language: English

Topic: Photovoltaic System Optimization Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hunan Province

Awards: G1785915596, G6581333976, G6966847779, G8837932940

OpenAlex ID: W4403119366

FWCI: 1.131

Cites: 25

Cited by: 17

Related to: 10