Photovoltaic Power Generation Prediction via Pre-Training Mamba
Keywords: Mamba, photovoltaic power generation prediction, Deep Learning
Abstract: The uncertainty associated with solar photovoltaic (PV) power output (PO) is a big challenge to design,manage and implement effective demand response, and management strategies. Therefore, an accurate PV power output forecast is an utmost importance to allow seamless integration and a higher level of penetration. Although there are already many methods for predicting photovoltaic power generation, there is still room for improvement in accuracy. Therefore, we plan to use the Mamba model to pretrain on a large time-series dataset first, and then fine tune it using a photovoltaic power generation dataset, hoping to improve accuracy.
Submission Number: 42
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