AUTHOR=Yang Mao , Wang Kaixuan , Cui Yang , Feng Fan , Su Xin , Ma Chenglian TITLE=Investigating the Predictability of Photovoltaic Power Using Approximate Entropy JOURNAL=Frontiers in Energy Research VOLUME=9 YEAR=2021 URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2021.681494 DOI=10.3389/fenrg.2021.681494 ISSN=2296-598X ABSTRACT=

The predictability concept of Photovoltaic (PV) power on the time series was presented and the approximate entropy algorithm and predictable coefficient were used to quantificationally analyze the predictability of PV power on time series, then the approximate entropy and predictable coefficient variation at different spatial scale were analyzed. Finally, the measured data of a PV plant in western Ningxia were used for testing and confirming the result. The results of several typical prediction methods show that the proposed method can effectively characterize the predictability of PV power on time series.