Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting

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The development of kernel methods and hybrid evolutionary algorithms (HEAs) to support experts in energy forecasting is of great importance to improving the accuracy of the
actions derived from an energy decision maker, and it is crucial that they are theoretically sound.

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