Photovoltaic Power Estimation Using DBN, LSTM, CNN & GRU

版本 1.0.0 (158.2 KB) 作者: Dr Varaprasad Janamala
GUI-based tool for photovoltaic power estimation using DBN, LSTM, CNN, and GRU with performance metrics, plots, and comparison results.
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更新时间 2025/8/26

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Description:
This MATLAB script estimates photovoltaic (PV) power output using four AI models: Deep Belief Network (DBN), Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and Gated Recurrent Unit (GRU). The program loads PV system data from a CSV file, trains the chosen models, and evaluates their performance. Results include statistical metrics and multiple visualizations for easy comparison.
Features:
  • Reads input data (irradiance, temperature, wind speed, etc.) from CSV file
  • Implements DBN, LSTM, CNN, and GRU for PV power estimation
  • Calculates key metrics: RMSE, MAE, R²
  • Saves per-model results into separate Excel files
  • Generates plots:
  • Correlation matrix of input features
  • Time-series (Actual vs Predicted)
  • Error histograms
  • Scatter plots with y=x reference line
  • Produces a final comparison table and bar chart across all models

引用格式

Dr Varaprasad Janamala (2025). Photovoltaic Power Estimation Using DBN, LSTM, CNN & GRU (https://www.mathworks.com/matlabcentral/fileexchange/181868-photovoltaic-power-estimation-using-dbn-lstm-cnn-gru), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2025a
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版本 已发布 发行说明
1.0.0