What is it about?
This article proposes an alternative technique and framework to enhance the performance of the PV power forecasting model based on deep learning. The proposed framework utilizes a preprocessing process to manage information and a self-organization map to classify latent variables that are related with forecasting performance.
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Why is it important?
This article important because the high accuracy of PV power generation forecasting model can lead the high performance of energy management.
Perspectives
this technique can be applied to related forecasting work.
Nitikorn Junhuathon
Rajamangala University of Technology Thanyaburi
Read the Original
This page is a summary of: Deep-learning-based short-term photovoltaic power generation forecasting using improved self-organization map neural network, Journal of Renewable and Sustainable Energy, July 2022, American Institute of Physics,
DOI: 10.1063/5.0091454.
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