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IEEE/ICACT20250070 Slide.05
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Combining smart infrastructure and federated learning opens up new possibilities for environmentally friendly and consumer-friendly power grids. Recently, various ML techniques such as RNNs, CNNs, and LSTM networks have been used for load forecasting, capturing spatial and temporal electricity demand dynamics across grid hierarchies [16-17]. | |
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