Collectively, these studies illustrate a clear trend toward hybrid, adaptive, and domain-specific forecasting models, often merging deep learning, signal processing, and evolutionary optimization techniques to address the growing complexity of energy systems.
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Self-adaptive evolutionary neural networks for high-precision short-term electric load forecasting.
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