Dynamic-Error-Compensation-Assisted Deep Learning Framework for Solar Power Forecasting
Author:
Affiliation:
1. Department of Mechanical and Mechatronic Engineering, National Taiwan Ocean University, Keelung City, Taiwan
Funder
Ministry of Science and Technology, Taiwan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Renewable Energy, Sustainability and the Environment
Link
http://xplorestaging.ieee.org/ielx7/5165391/9802539/09729565.pdf?arnumber=9729565
Reference11 articles.
1. A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources
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3. Ensemble approaches for regression
4. Deep Learning Based Surface Irradiance Mapping Model for Solar PV Power Forecasting Using Sky Image
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