Very Short-Term Solar Power Forecasting Using a Frequency Incorporated Deep Learning Model
This paper aims to forecast solar power in very short horizons to assist in real-time distribution system operations. Popular machine learning methods for time series forecasting are studied, including recurrent neural networks with Long Short-Term Memory (LSTM). Although LSTM networks perform well...
Main Authors: | , , , , , |
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Format: | Article |
Jezik: | English |
Izdano: |
IEEE
2023-01-01
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Serija: | IEEE Open Access Journal of Power and Energy |
Teme: | |
Online dostop: | https://ieeexplore.ieee.org/document/10179133/ |