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.
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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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