Work

Short-Term Wind Power Prediction Model Based on MIC-CEEMDAN-VMD-CNN-BiLSTM

Year: 2024

Type: conference-paper

Source: Power Electronics and Power System Conference (PEPSC)

DOI: 10.1109/pepsc63375.2024.10823539

Authors: Yizhuang Shan, Wenyi Li, Jingyu Li, Dezhi Ma

Institution: Inner Mongolia University of Technology

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: Government of Inner Mongolia Autonomous Region

Award: G1576258643

OpenAlex ID: W4406233985

FWCI: 0.781

Cites: 5

Cited by: 1

Related to: 10