Short-Term Photovoltaic Power Forecasting Based on Historical Information and Deep Learning Methods
The accurate prediction of photovoltaic (PV) power is essential for planning power systems and constructing intelligent grids. However, this has become difficult due to the intermittency and instability of PV power data. This paper introduces a deep learning framework based on 7.5 min-ahead and 15 m...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/24/9630 |