Abstract: A frequency measurement device includes a filter, a detecting module and a calculating module. The filter is configured to receive an input signal, and filter the input signal to generate a signal under measurement. The detecting module is configured to detect a plurality of wave peaks or a plurality of wave troughs of the signal under measurement through a second order differentiator, so as to generate a plurality of detecting signals. The detecting signals correspond to the wave peaks or the wave troughs respectively. The calculating module is configured to receive the detecting signals, and calculate a frequency of the signal under measurement according to the detecting signals.

Abstract: A frequency measurement device and a frequency measurement method are disclosed herein. The frequency measurement device includes a filter, a detecting module and a calculating module. The filter is configured to receive an input signal, and filter the input signal to generate a signal under measurement. The detecting module is configured to detect a plurality of wave peaks or a plurality of wave troughs of the signal under measurement through a second order differentiator, so as to generate a plurality of detecting signals. The detecting signals correspond to the wave peaks or the wave troughs respectively. The calculating module is configured to receive the detecting signals, and calculate a frequency of the signal under measurement according to the detecting signals.

Abstract: A renewable energy power generation prediction system includes a measuring module and a control module. The measuring module is configured for measuring power generated by at least one renewable energy power generator and outputting a plurality of historical power values. The control module includes a computing unit and a machine-learning unit. The computing unit is configured for computing a plurality of historical power variations according to the historical power values. The machine-learning unit is configured for estimating a predicted power value according to the historical power variations. A renewable energy power generation prediction method and a power allocation system are disclosed herein as well.