Forecasting Day-Ahead Hourly Photovoltaic Power Generation Using Convolutional Self-Attention Based Long Short-Term Memory

Forecasting Day-Ahead Hourly Photovoltaic Power Generation Using Convolutional Self-Attention Based Long Short-Term Memory

The problem of Photovoltaic (PV) power generation forecasting is becoming crucial as the penetration level of Distributed Energy Resources (DERs) increases in microgrids and Virtual Power Plants (VPPs). In order to improve the stability of power systems, a fair amount of research has been proposed f...

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Bibliographic Details
Main Authors: Dukhwan Yu, Wonik Choi, Myoungsoo Kim, Ling Liu
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Energies
Subjects:
microgrid
virtual power plant (VPP)
distributed energy resource
PV power generation forecasting
deep learning
convolutional self-attention
Online Access:https://www.mdpi.com/1996-1073/13/15/4017

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https://www.mdpi.com/1996-1073/13/15/4017

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