Hybrid method for short‐term photovoltaic power forecasting based on deep convolutional neural network
Author:
Affiliation:
1. College of Energy and Electrical EngineeringHohai UniversityNanjing210098People's Republic of China
2. Department of Electrical EngineeringXi'an Jiaotong UniversityXi'an710049People's Republic of China
3. GE Grid SolutionsRedmondWA98052USA
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2018.5847
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