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Bio-inspired puma optimization algorithm for time-series energy consumption forecasting
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DOI：10.1016/j.egyr.2025.109022.png)
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摘要
En 中文
• 智能家居能源时间序列预测的混合PO-LSTM模型。
• bPSO引导的WOA特征选择降低复杂度并提升准确率。
• PO优化的LSTM在住宅数据上达到RMSE 0.00582和R² 0.98060。
• 优于GRU、RNN、ANN及其他元启发式调优的LSTM模型。
• 支持需求侧管理和智能电网住宅应用。
Keyword:
Bio-Inspired Optimization
Puma Optimizer
LSTM Networks
Smart Home Energy Forecasting
Feature Selection
Time-Series Prediction
Metaheuristic Algorithms
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期刊
E
IF:
5.1
论文数:
774
被引数:
0
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