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实体 District heating systems load forecasting: a deep neural networks model based on similar day approach

District heating systems load forecasting: a deep neural networks model based on similar day approach

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  1. RESEARCH · CL_198192 ·

    XGBoost 在热能预测研究中表现优于 LSTM

    一篇新的研究论文比较了 XGBoost 和长短期记忆 (LSTM) 在区域供热系统中预测热能的性能。研究发现，XGBoost 的表现始终优于 LSTM，尤其是在数据可用性较低的地区。这表明，对于某些时间序列预测任务，传统的机器学习算法可能比深度学习更有效且计算效率更高，从而节省成本并减少环境影响。