For stable operation of the power system, predicting the amount of renewable energy generated can help establish a reasonable power generation plan. Solar photovoltaic power generation cannot be arbitrarily controlled and is directly affected by climatic conditions. Therefore, this study introduces a solar photovoltaic power generation forecasting technique that can reduce forecasting errors and maximize settlement income. This power generation forecasting technique uses easily accessible public meteorological data. Participation in the renewable energy generation prediction market is expected to be activated through this study, and various business models could possibly be developed by lowering the entry barrier for participation in the solar photovoltaic power generation prediction market.