Research on Photovoltaic Power Generation Forecasting Based on HMM-Viterbi Algorithm
In recent years,with the rapid growth of global energy demand,solar power generation has become one of the hotspots of global attention,and photovoltaic power generation is affected by factors such as climate environment and atmospheric conditions,which leads to stochastic and fluctuating power generation.Based on this,a Hidden Markov Model is constructed,and the Viterbi algorithm is used to decode the prediction process and predict the solar PV power in the next year,and the simulation is carried out with the PV power generation data of Liaoning in recent years,and the simulation results have superior computational efficiency and accuracy.
Hidden Markov modelViterbi algorithmphotovoltaic power generationpower prediction
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