Work

Probabilistic Wind Power Forecasting With Missing Data Tolerance: An End-to-End Nonparametric Approach

Year: 2025

Type: article

Source: IEEE Transactions on Sustainable Energy

DOI: 10.1109/tste.2025.3611370

Authors: Zichao Meng, Ye Guo, Chenhao Zhao

Institutions: Tsinghua Shenzhen International Graduate School, Tsinghua University, Hong Kong Polytechnic University

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy

Open Access status: closed

Funder: National Key Research and Development Program of China

OpenAlex ID: W4414499415

FWCI: 0.23

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Cited by: 1

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