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March 28, 2026Electronics1 citationsOpen Access

Multi-Step Forecasting of Photovoltaic Power Using Autoformer and Prophet

Multi-Step Short-Term Forecasting of Photovoltaic Power Utilizing Autoformer with Prophet

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Authors

KYKang YangCJCongmei JiangYMYangming Min

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Overview

Demonstrates improved accuracy in predicting photovoltaic power, highlighting effective feature extraction techniques.

Key Points

  • The aim is to enhance the accuracy of photovoltaic power forecasting using a novel hybrid model combining Autoformer and Prophet.
  • Developed a forecasting model using Autoformer for seasonal component extraction.
  • Utilized Prophet for trend-cycle and seasonal feature extraction from time series data.
  • Conducted comparisons with other models to assess feasibility and performance.
  • The hybrid Autoformer-Prophet model significantly outperforms other forecasting methods.
  • Achieved improved performance across various metrics in short-term photovoltaic prediction tasks.

Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/69c771198bbfbc51511e0f42https://doi.org/10.3390/electronics15071370
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