Korean Energy Economic Review ISSN:1599-7057(Print) 에너지경제연구

As the weather services markets enter the new phase due to information integration and open information services, a lot of service providers start to consider new weather business models using these preliminary data. This study proposes a simple econometric model that can monitor the photovoltaic and provide contextual information using various weather information. To analyze the effects of weather conditions (insolation, temperature, precipitation, wind speed, humidity and cloud) on the daily photovoltaic located in Seoul, Hongseong and Uiseong, we incorporate a quantile regression approach that has been widely used in economic literature. In addition, data format transformations are considered to take care of nonlinearity of the time-series variables. This study provides photovoltaic monitoring methods by estimating the conditional distributions of hourly power performances.