Two-Stage Hybrid Deep Learning With Strong Adaptability for Detailed Day-Ahead Photovoltaic Power Forecasting
Author:
Affiliation:
1. School of Control Science and Engineering, Shandong University, Jinan, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Renewable Energy, Sustainability and the Environment
Link
http://xplorestaging.ieee.org/ielx7/5165391/9994274/09889183.pdf?arnumber=9889183
Reference42 articles.
1. MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
2. A survey of the recent architectures of deep convolutional neural networks
3. Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting
4. Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method
5. A Multi-Data Driven Hybrid Learning Method for Weekly Photovoltaic Power Scenario Forecast
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