NILM (Non-intrusive Load Monitoring) 实验代码与结果 本仓库包含使用深度学习模型（LSTM、RNN 和 MultiHead Transformer）进行非侵入式负荷检测的代码和实验结果。NILM 技术用于从总负荷数据中提取各个电器的用电信息，能够帮助用户和电力公司更好地进行用电管理与优化。
☆19Oct 21, 2024Updated last year
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