HyperEnergy, a hypernetwork that learns LSTM weights with a learnable polynomial/RBF kernel, reports lower 24-hour-ahead energy forecast errors than 10 baselines on most of 10 building datasets.
A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids,
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Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types
HyperEnergy, a hypernetwork that learns LSTM weights with a learnable polynomial/RBF kernel, reports lower 24-hour-ahead energy forecast errors than 10 baselines on most of 10 building datasets.