Work

Probabilistic Wind Power Forecasting With Limited Data Based on Efficient Parameter Updating Rules

Year: 2024

Type: article

Source: IEEE Transactions on Power Systems

DOI: 10.1109/tpwrs.2024.3443105

Authors: Zichao Meng, Ye Guo

Institutions: Tsinghua–Berkeley Shenzhen Institute, Tsinghua University, Guangdong Power Grid Company (China), China Southern Power Grid (China)

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

Funder: National Key Research and Development Program of China

OpenAlex ID: W4401537123

FWCI: 0.924

Cites: 47

Cited by: 9

Related to: 10