MACHINE LEARNING BASED SOLAR POWER GENERATION PREDICTION APPARATUS AND METHOD THAT DOES NOT USE FUTURE METEOROLOGICAL FORECAST DATA

摘要

Disclosed are a machine learning based photovoltaic power generation value prediction device which does not use future weather forecast data and a method thereof. The present invention suggests a technique of predicting not a photovoltaic power generation amount in a peak time zone by using the future weather forecast data with uncertainty, but a photovoltaic power generation amount in the peak time zone of the day based on weather data measured in a time zone before the peak time zone of the day. Therefore, the present invention can support a manager of a photovoltaic power generation plant to more accurately predict the photovoltaic power generation amount in the peak time zone.