Wind Power Ultra-Short-Term Power Prediction Based on VMD and Weighted Combination Model of BiLSTM and RF
Author:
Affiliation:
1. Kunming University of Science and Technology,Faculty of Electric Power Engineering,Kunming,China
2. Dali Power Supply Bureau of Yunnan Power Grid Co.,China Southern Power Grid,Dali,China
3. CGN YuXi HuaNing Wind Power Co., Ltd,Yuxi,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10601630/10601669/10602150.pdf?arnumber=10602150
Reference14 articles.
1. Hidden Markov Models for Wind Farm Power Output
2. Analyzing the Features of Passenger Drop-Off Behavior at Airport Curbsides: A Case Study From Guangxi Province, China
3. A Robust Hybrid Classical and Quantum Model for Short-Term Wind Speed Forecasting
4. Multiple Random Forests Based Intelligent Location of Single-phase Grounding Fault in Power Lines of DFIG-based Wind Farm
5. A Hybrid Forecasting Method for Wind Power Ramp Based on Orthogonal Test and Support Vector Machine (OT-SVM)
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