Design of a Photovoltaic Power Prediction System Based on Improved Ensemble Learning Algorithms
Author:
Affiliation:
1. Xiamen University of Technology,School of Electrical Engineering and Automation,Xiamen,China
2. EMK (Xiamen) Intelligent Electric Co., Ltd,Xiamen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10404091/10404082/10404099.pdf?arnumber=10404099
Reference10 articles.
1. Short-term prediction of photovoltaic output of IVMD-GLSSVM based on feature factor selection[J];Jianhua;Electronic Measurement Technology,2023
2. Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models
3. The scalar-on-function modal regression for functional time series data
4. Photovoltaic power prediction considering the effect of atmospheric particulate matter on irradiance[J];Bai;China Test,2022
5. A new power system operation mode analysis and decision-making architecture based on hybrid intelligence and its key technologies[J/OL];Qinglai;China Power
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