Short-Term Photovoltaic Power Forecasting Using a Convolutional Neural Network–Salp Swarm Algorithm
The high utilization of renewable energy to manage climate change and provide green energy requires short-term photovoltaic (PV) power forecasting. In this paper, a novel forecasting strategy that combines a convolutional neural network (CNN) and a salp swarm algorithm (SSA) is proposed to forecast...
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Fformat: | Erthygl |
Iaith: | English |
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MDPI AG
2020-04-01
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Cyfres: | Energies |
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Mynediad Ar-lein: | https://www.mdpi.com/1996-1073/13/8/1879 |